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ORCIDSridhar Krishnan 0001
Sridhar Sri Krishnan
Person information
- affiliation: Toronto Metropolitan University, Canada
- affiliation (PhD 1999): University of Calgary, AB, Canada
Other persons with the same name
- Sridhar Krishnan 0002 — Texas Instruments, Dallas, TX, USA
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2020 – today
- 2024
[j91]Garima Sharma
, Karthikeyan Umapathy, Sridhar Krishnan:
Time-Frequency Scattergrams for Biomedical Audio Signal Representation and Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 564-576 (2024)- 2023
- [j90]Binh Nguyen, Andrei B. Bezerra Torres, Caroline W. Espinola, Walter Sim, Deborah Kenny, Douglas M. Campbell, Wendy Lou, Bill Kapralos, Lindsay Beavers, Elizabeth Peter, Adam Dubrowski, Sridhar Krishnan, Venkat Bhat:
Development of a data-driven digital phenotype profile of distress experience of healthcare workers during COVID-19 pandemic. Comput. Methods Programs Biomed. 240: 107645 (2023) - [c117]Abdelrahman Abdou, Niraj Mistry, Sridhar Krishnan:
3D Printed Dry Electrodes for Single-Lead Newborn ECG Monitoring. CinC 2023: 1-4 - [c116]Binh Nguyen, Andrei B. Bezerra Torres, Alice Rueda, Walter Sim, Douglas M. Campbell, Wendy Lou, Bill Kapralos, Lindsay Beavers, Adam Dubrowski, Venkat Bhat, Sridhar Krishnan:
Digital Interventions to Reduce Distress Among Frontline Health Care Providers: Analysis of Self-Perceived Stress. EMBC 2023: 1-4 - [c115]Binh P. Nguyen, Michael Nigro, Alice Rueda, Venkat Bhat, Sridhar Krishnan:
Digital Phenotype Representation by Statistical, Information Theory, Data-Driven Approach with Digital Health Data. ICASSP 2023: 1-5 - [c114]Michael Nigro, Sridhar Krishnan:
SARdBScene: Dataset and Resnet Baseline for Audio Scene Source Counting and Analysis. ICASSP 2023: 1-5 - 2022
- [j89]Syem Ishaque, Naimul Khan, Sridhar Krishnan:
Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis. Biomed. Signal Process. Control. 74: 103484 (2022) - [j88]Sourav Kumar Mukhopadhyay, Sridhar Krishnan:
Visual saliency detection approach for long-term ECG analysis. Comput. Methods Programs Biomed. 213: 106518 (2022) - [j87]Alice Rueda, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth, Sridhar Krishnan:
Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia. Comput. Speech Lang. 72: 101322 (2022) - [j86]Anupreet Kaur Singh, Sridhar Krishnan:
Trends in EEG signal feature extraction applications. Frontiers Artif. Intell. 5 (2022) - [j85]Fayez Qureshi, Sridhar Krishnan:
Design and Analysis of Electronic Head Protector for Taekwondo Sports. Sensors 22(4): 1415 (2022) - [j84]Ana Cecilia Villa-Parra, Ismael Criollo, Carlos Valadão, Leticia Silva, Yves Luduvico Coelho, Lucas Lampier, Luara Rangel, Garima Sharma, Denis Delisle Rodríguez, John Calle Sigüencia, Fernando Urgiles-Ortiz, Camilo A. R. Díaz, Eliete Caldeira, Sridhar Krishnan, Teodiano Freire Bastos Filho:
Towards Multimodal Equipment to Help in the Diagnosis of COVID-19 Using Machine Learning Algorithms. Sensors 22(12): 4341 (2022) - [j83]Michael Nigro, Sridhar Krishnan:
Multimodal System for Audio Scene Source Counting and Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1073-1082 (2022) - 2021
- [j82]Garima Sharma, Xiao-Ping Zhang, Karthikeyan Umapathy, Sridhar Krishnan:
Audio texture and age-wise analysis of disordered speech in children having specific language impairment. Biomed. Signal Process. Control. 66: 102471 (2021) - [j81]Syem Ishaque, Naimul Mefraz Khan, Sridhar Krishnan:
Trends in Heart-Rate Variability Signal Analysis. Frontiers Digit. Health 3: 639444 (2021) - [j80]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach. Frontiers Digit. Health 3: 738996 (2021) - [j79]Vivianne Cardoso, Denis Delisle Rodríguez, M. Alejandra Romero-Laiseca, Flávia A. Loterio, Dharmendra Gurve, Alan Floriano, Carlos Valadão, Leticia Silva, Sridhar Krishnan, Anselmo Frizera-Neto, Teodiano Freire Bastos Filho:
Effect of a Brain-Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity. Sensors 21(6): 2020 (2021) - [c113]Binh P. Nguyen, Sharadha Kolappan, Venkat Bhat, Sridhar Krishnan:
Clustering and Feature Analysis of Smartphone Data for Depression Monitoring. EMBC 2021: 113-116 - [c112]Binh P. Nguyen, Michael Nigro, Alice Rueda, Sharadha Kolappan, Venkat Bhat, Sridhar Krishnan:
Feature Analysis and Hierarchical Classification of Anxiety Severity during early COVID-19. EMBC 2021: 1678-1681 - [c111]Abdelrahman Abdou, Sridhar Krishnan:
ECG Dry-electrode 3D Printing and Signal Quality Considerations. EMBC 2021: 6855-6858 - [i1]Zeeshan Ahmad, Suha Rabbani, Muhammad Rehman Zafar, Syem Ishaque, Sridhar Krishnan, Naimul Mefraz Khan:
Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion. CoRR abs/2107.04566 (2021) - 2020
- [j78]Yashodhan Rajiv Athavale, Sridhar Krishnan:
A telehealth system framework for assessing knee-joint conditions using vibroarthrographic signals. Biomed. Signal Process. Control. 55 (2020) - [j77]Jeevan K. Pant, Sridhar Krishnan:
Group sparse structure and elastic-net regularization for compressive sensing of pulse-type physiological signals. Biomed. Signal Process. Control. 57 (2020) - [j76]Sourav Kumar Mukhopadhyay, Sridhar Krishnan:
Robust identification of QRS-complexes in electrocardiogram signals using a combination of interval and trigonometric threshold values. Biomed. Signal Process. Control. 61: 102007 (2020) - [j75]Sourav Kumar Mukhopadhyay, Sridhar Krishnan:
A singular spectrum analysis-based model-free electrocardiogram denoising technique. Comput. Methods Programs Biomed. 188: 105304 (2020) - [j74]Dharmendra Gurve, Denis Delisle Rodríguez, Teodiano Freire Bastos Filho, Sridhar Krishnan:
Trends in Compressive Sensing for EEG Signal Processing Applications. Sensors 20(13): 3703 (2020) - [j73]Dharmendra Gurve, Sridhar Krishnan:
Separation of Fetal-ECG From Single-Channel Abdominal ECG Using Activation Scaled Non-Negative Matrix Factorization. IEEE J. Biomed. Health Informatics 24(3): 669-680 (2020) - [c110]Syem Ishaque, Alice Rueda, Binh P. Nguyen, Naimul Mefraz Khan, Sridhar Krishnan:
Physiological Signal Analysis and Classification of Stress from Virtual Reality Video Game. EMBC 2020: 867-870 - [c109]Garima Sharma, Deepak Prasad, Karthikeyan Umapathy, Sridhar Krishnan:
Screening and analysis of specific language impairment in young children by analyzing the textures of speech signal. EMBC 2020: 964-967 - [c108]Yunier Prieur-Coloma, Denis Delisle Rodríguez, Leondry Mayeta-Revilla, Dharmendra Gurve, Ramón Amado Reinoso-Leblanch, Alberto López Delis, Teodiano F. Bastos, Sridhar Krishnan, Adson F. da Rocha:
Shoulder Flexion Pre-Movement Recognition Through Subject-Specific Brain Regions to Command an Upper Limb Exoskeleton. EMBC 2020: 3848-3851 - [c107]Leticia Silva, Denis Delisle Rodríguez, Vivianne Cardoso, Dharmendra Gurve, Sridhar Krishnan, Teodiano Freire Bastos Filho:
Towards an Effective Motor Imagery Based-BCI with Calibration Through Activation of Central and Peripheral Mechanisms of Lower-Limbs. SMC 2020: 2014-2018 - [c106]Eisha Patel, Sridhar Krishnan:
Generating Stylistic Images by Extending Neural Style Transfer Method. SSIP 2020: 19-24
2010 – 2019
- 2019
- [c105]Shengkun Xie, Sridhar Krishnan:
Feature Extraction of Epileptic EEG using Wavelet Power Spectra and Functional PCA. EMBC 2019: 2551-2554 - [c104]Dharmendra Gurve, Denis Delisle Rodríguez, Teodiano F. Bastos, Sridhar Krishnan:
Motor Imagery Classification with Covariance Matrices and Non-Negative Matrix Factorization. EMBC 2019: 3083-3086 - [c103]Alice Rueda, Sridhar Krishnan:
Augmenting Dysphonia Voice Using Fourier-based Synchrosqueezing Transform for a CNN Classifier. ICASSP 2019: 6415-6419 - [c102]Alice Rueda, Juan Camilo Vásquez-Correa, Cristian David Rios-Urrego, Juan Rafael Orozco-Arroyave, Sridhar Krishnan, Elmar Nöth:
Feature Representation of Pathophysiology of Parkinsonian Dysarthria. INTERSPEECH 2019: 3048-3052 - 2018
- [j72]Dharmendra Gurve, Sridhar Krishnan:
Deep Learning of EEG Time-Frequency Representations for Identifying Eye States. Adv. Data Sci. Adapt. Anal. 10(2): 1840006:1-1840006:13 (2018) - [j71]Alice Rueda, Sridhar Krishnan:
Clustering Parkinson's and Age-Related Voice Impairment Signal Features for Unsupervised Learning. Adv. Data Sci. Adapt. Anal. 10(2): 1840007:1-1840007:24 (2018) - [j70]Sridhar Krishnan, Yashodhan Rajiv Athavale:
Trends in biomedical signal feature extraction. Biomed. Signal Process. Control. 43: 41-63 (2018) - [j69]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
Patient-specific seizure detection in long-term EEG using wavelet decomposition. Biomed. Signal Process. Control. 46: 157-165 (2018) - [j68]Yashodhan Rajiv Athavale, Sridhar Krishnan:
A Device-Independent Efficient Actigraphy Signal-Encoding System for Applications in Monitoring Daily Human Activities and Health. Sensors 18(9): 2966 (2018) - [j67]Fayez Qureshi, Sridhar Krishnan:
Wearable Hardware Design for the Internet of Medical Things (IoMT). Sensors 18(11): 3812 (2018) - [j66]Wenjun Yang, Sridhar Krishnan:
Sound event detection in real-life audio using joint spectral and temporal features. Signal Image Video Process. 12(7): 1345-1352 (2018) - [c101]Yashodhan Rajiv Athavale, Sridhar Krishnan, Afsaneh Raissi, Nardin Kirolos, Brian J. Murray, Mark I. Boulos:
Integrated Signal Encoding and Analysis System for Actigraphy-based Long-term Monitoring of Periodic Limb Movements in Sleep. EMBC 2018: 4436-4439 - [c100]Jeevan K. Pant, Sridhar Krishnan:
First-Order Difference Energy Regularization for Enhancing Reconstruction Performance in Compressive Sensing of Foot-Gait Signals. ICASSP 2018: 925-929 - [c99]Jeevan K. Pant, Sridhar Krishnan:
Sparse Signal Reconstruction Using Multi-Sequential Lp Optimization. ISCAS 2018: 1-5 - 2017
- [j65]Feng Jin, Lakshmi Sugavaneswaran, Sridhar Krishnan, Vijay S. Chauhan:
Quantification of fragmented QRS complex using intrinsic time-scale decomposition. Biomed. Signal Process. Control. 31: 513-523 (2017) - [j64]Yashodhan Rajiv Athavale, Sridhar Krishnan:
Biosignal monitoring using wearables: Observations and opportunities. Biomed. Signal Process. Control. 38: 22-33 (2017) - [j63]Denis Delisle Rodríguez, Ana Cecilia Villa-Parra, Teodiano Freire Bastos Filho, Alberto López Delis, Anselmo Frizera-Neto, Sridhar Krishnan, Eduardo Rocon:
Adaptive Spatial Filter Based on Similarity Indices to Preserve the Neural Information on EEG Signals during On-Line Processing. Sensors 17(12): 2725 (2017) - [j62]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
Hierarchical decomposition based on a variation of empirical mode decomposition. Signal Image Video Process. 11(5): 793-800 (2017) - [j61]Wenjun Yang, Sridhar Krishnan:
Combining Temporal Features by Local Binary Pattern for Acoustic Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1315-1321 (2017) - [c98]Jeevan K. Pant, Sridhar Krishnan:
Performance of compressive sensing for the reconstruction of different QRS pulses in ECG signals. EMBC 2017: 825-828 - [c97]Alice Rueda, Sridhar Krishnan:
Feature analysis of dysphonia speech for monitoring Parkinson's disease. EMBC 2017: 2308-2311 - [c96]Dharmendra Gurve, Jeevan K. Pant, Sridhar Krishnan:
Real-time fetal ECG extraction from multichannel abdominal ECG using compressive sensing and ICA. EMBC 2017: 2794-2797 - [c95]Uzair Mayat, Fayez Qureshi, Saad Ahmed, Yashodhan Rajiv Athavale, Sridhar Krishnan:
Towards a low-cost point-of-care screening platform for electronic auscultation of vital body sounds. IHTC 2017: 1-5 - [c94]George K. Endo, Ibukun Oluwayomi, Victor Alexandra, Yashodhan Rajiv Athavale, Sridhar Krishnan:
Technology for continuous long-term monitoring of pregnant women for safe childbirth. IHTC 2017: 6-10 - [c93]Mariana Cardoso Melo, D. R. Macedo, Alcimar Barbosa Soares, Sridhar Krishnan:
Technological aspects of traumatic spinal cord injury rehabilitation. IHTC 2017: 11-15 - [c92]Amnyah Almahouzi, Toka Alnaser, Susanne Tiraci, Yashodhan Rajiv Athavale, Sridhar Krishnan:
An integrated biosignals wearable system for low-cost blood pressure monitoring. IHTC 2017: 16-20 - [c91]Sharadha Kolappan, Sridhar Krishnan, Brian J. Murray, Mark I. Boulos:
A low-cost approach for wide-spread screening of periodic leg movements related to sleep disorders. IHTC 2017: 105-108 - [c90]Jeevan K. Pant, Sridhar Krishnan:
Two-pass ℓp-regularized least-squares algorithm for compressive sensing. ISCAS 2017: 1-4 - 2016
- [j60]Richard M. G. Tello, Sandra M. T. Muller, Muhammad A. Hasan, André Ferreira, Sridhar Krishnan, Teodiano F. Bastos:
An independent-BCI based on SSVEP using Figure-Ground Perception (FGP). Biomed. Signal Process. Control. 26: 69-79 (2016) - [j59]Karl Magtibay, Mohammadali Beheshti, Farbod Hosseyndoust Foomany, Stéphane Massé, Patrick F. H. Lai, Nima Zamiri, John Asta, Kumaraswamy Nanthakumar, David A. Jaffray, Sridhar Krishnan, Karthikeyan Umapathy:
Feature-based MRI data fusion for cardiac arrhythmia studies. Comput. Biol. Medicine 72: 13-21 (2016) - [j58]Muhammad A. Hasan, Vijay S. Chauhan, Sridhar Krishnan:
Beat-to-beat T-wave alternans detection using the Ensemble Empirical Mode Decomposition method. Comput. Biol. Medicine 77: 1-8 (2016) - [j57]Saeed Pouryazdian, Soosan Beheshti, Sridhar Krishnan:
CANDECOMP/PARAFAC model order selection based on Reconstruction Error in the presence of Kronecker structured colored noise. Digit. Signal Process. 48: 12-26 (2016) - [j56]Mehrnaz Shokrollahi, Sridhar Krishnan, Dustin D. Dopsa, Ryan T. Muir, Sandra E. Black, Richard H. Swartz, Brian J. Murray, Mark I. Boulos:
Nonnegative matrix factorization and sparse representation for the automated detection of periodic limb movements in sleep. Medical Biol. Eng. Comput. 54(11): 1641-1654 (2016) - [j55]Mohammadreza Balouchestani, Sridhar Krishnan:
Advanced K-means clustering algorithm for large ECG data sets based on a collaboration of compressed sensing theory and K-SVD approach. Signal Image Video Process. 10(1): 113-120 (2016) - [j54]Mehrnaz Shokrollahi, Sridhar Krishnan:
Non-stationary signal feature characterization using adaptive dictionaries and non-negative matrix factorization. Signal Image Video Process. 10(6): 1025-1032 (2016) - [j53]Jeevan K. Pant, Sridhar Krishnan:
Compressive Sensing of Foot Gait Signals and Its Application for the Estimation of Clinically Relevant Time Series. IEEE Trans. Biomed. Eng. 63(7): 1401-1415 (2016) - [c89]Timothy Liang, Mark I. Boulos, Brian J. Murray, Sridhar Krishnan, Hans Katzberg, Karthikeyan Umapathy:
Detection of myasthenia gravis using electrooculography signals. EMBC 2016: 896-899 - [c88]Saeed Pouryazdian, Andrew Chang, Dan J. Bosnyak, Laurel J. Trainor, Soosan Beheshti, Sridhar Krishnan:
Multi-domain feature selection in auditory MisMatch Negativity via PARAFAC-based template matching approach. EMBC 2016: 1603-1607 - [c87]Jeevan K. Pant, Sridhar Krishnan:
Compressive sensing of foot-gait signals by enhancing group block-sparse structure on the first-order difference. EMBC 2016: 3700-3703 - [c86]Jeevan K. Pant, Sridhar Krishnan:
Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection. EMBC 2016: 4731-4734 - [c85]Bo Wu, Sridhar Krishnan, Nan Zhang, Li Su:
Compact and robust video fingerprinting using sparse represented features. ICME 2016: 1-6 - 2015
- [j52]Mohammadreza Balouchestani, Sridhar Krishnan:
Robust compressive sensing algorithm for wireless surface electromyography applications. Biomed. Signal Process. Control. 20: 100-106 (2015) - [j51]M. Rasooli, Farbod Hosseyndoust Foomany, Krishnanand Balasundaram, Stéphane Massé, Nima Zamiri, Andrew Ramadeen, X. Hu, Paul Dorian, Kumaraswamy Nanthakumar, Sridhar Krishnan, Soosan Beheshti, Karthikeyan Umapathy:
Analysis of electrocardiogram pre-shock waveforms during ventricular fibrillation. Biomed. Signal Process. Control. 21: 26-33 (2015) - [j50]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Low sampling rate algorithm for wireless ECG systems based on compressed sensing theory. Signal Image Video Process. 9(3): 527-533 (2015) - [c84]Saeed Pouryazdian, Soosan Beheshti, Sridhar Krishnan:
Localization of brain activities using multiway analysis of EEG tensor via EMD and reassigned TF representation. EMBC 2015: 113-116 - [c83]Richard M. G. Tello, Saeed Pouryazdian, André Ferreira, Soosan Beheshti, Sridhar Krishnan, Teodiano F. Bastos:
A new approach for SSVEP detection using PARAFAC and canonical correlation analysis. EMBC 2015: 6174-6177 - [c82]Guangyi Chen, Sridhar Krishnan:
Small bowel image classification using dual tree complex wavelet-based cross co-occurrence features and canonical discriminant analysis. ICACCI 2015: 2174-2179 - [c81]Shengkun Xie, Anna T. Lawniczak, Sridhar Krishnan:
Learning Dictionary Via Wavelet Sparse Principal Component Analysis. ICPRAM (1) 2015: 199-203 - 2014
- [j49]Chen Lin, Wenqiang Chen, Cheng Qiu, Yunfeng Wu, Sridhar Krishnan, Quan Zou:
LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy. Neurocomputing 123: 424-435 (2014) - [j48]Guangyi Chen, Sridhar Krishnan, Tien D. Bui:
Ramanujan Sums for Image Pattern Analysis. Int. J. Wavelets Multiresolution Inf. Process. 12(1) (2014) - [j47]Mohammadreza Balouchestani, Sridhar Krishnan:
Effective Low-Power Wearable Wireless Surface EMG Sensor Design Based on Analog-Compressed Sensing. Sensors 14(12): 24305-24328 (2014) - [j46]Jeevan K. Pant, Sridhar Krishnan:
Compressive Sensing of Electrocardiogram Signals by Promoting Sparsity on the Second-Order Difference and by Using Dictionary Learning. IEEE Trans. Biomed. Circuits Syst. 8(2): 293-302 (2014) - [c80]Mohammadreza Balouchestani, Lakshmi Sugavaneswaran, Sridhar Krishnan:
Advanced K-means clustering algorithm for large ECG data sets based on K-SVD approach. CSNDSP 2014: 177-182 - [c79]Lakshmi Sugavaneswaran, Mohammadreza Balouchestani, Karthikeyan Umapathy, Sridhar Krishnan:
Discriminative kernel learning in ambiguity domain. CSNDSP 2014: 261-265 - [c78]Mohammadreza Balouchestani, Sridhar Krishnan:
Fast clustering algorithm for large ECG data sets based on CS theory in combination with PCA and K-NN methods. EMBC 2014: 98-101 - [c77]Farbod Hosseyndoust Foomany, Mohammad T. H. Beheshti, Karl Magtibay, Stéphane Massé, Patrick F. Lai, John Asta, Nima Zamiri, David A. Jaffray, Sridhar Krishnan, Kumaraswamy Nanthakumar, Karthikeyan Umapathy:
A novel approach to quantification of real and artifactual components of current density imaging for phantom and live heart. EMBC 2014: 1075-1078 - [c76]Karl Magtibay, Mohammad T. H. Beheshti, Farbod Hosseyndoust Foomany, Krishnanand Balasundaram, Stéphane Massé, Patrick F. Lai, John Asta, Nima Zamiri, David A. Jaffray, Kumaraswamy Nanthakumar, Sridhar Krishnan, Karthikeyan Umapathy:
Fusion of structural and functional cardiac magnetic resonance imaging data for studying Ventricular Fibrillation. EMBC 2014: 5579-5582 - [c75]Jeevan K. Pant, Sridhar Krishnan:
Foot gait time series estimation based on support vector machine. EMBC 2014: 6410-6413 - [c74]Jeevan K. Pant, Sridhar Krishnan:
Compressive sensing of ECG signals based on mixed pseudonorm of the first- and second-order differences. ICASSP 2014: 4423-4427 - 2013
- [j45]Suxian Cai, Shanshan Yang, Fang Zheng, Meng Lu, Yunfeng Wu, Sridhar Krishnan:
Knee Joint Vibration Signal Analysis with Matching Pursuit Decomposition and Dynamic Weighted Classifier Fusion. Comput. Math. Methods Medicine 2013: 904267:1-904267:11 (2013) - [j44]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
New channel model for wireless body area network with compressed sensing theory. IET Wirel. Sens. Syst. 3(2) (2013) - [j43]Shengkun Xie, Sridhar Krishnan:
Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis. Medical Biol. Eng. Comput. 51(1-2): 49-60 (2013) - [j42]Muhammad Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan:
Pathological speech signal analysis and classification using empirical mode decomposition. Medical Biol. Eng. Comput. 51(7): 811-821 (2013) - [j41]Yaqing Niu, Matthew J. Kyan, Lin Ma, Azeddine Beghdadi, Sridhar Krishnan:
Visual saliency's modulatory effect on just noticeable distortion profile and its application in image watermarking. Signal Process. Image Commun. 28(8): 917-928 (2013) - [j40]Guangyi Chen, Sridhar Krishnan, Tien D. Bui:
Matrix-Based Ramanujan-Sums Transforms. IEEE Signal Process. Lett. 20(10): 941-944 (2013) - [c73]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Robust Ultra-Low-Power Algorithm for Normal and Abnormal ECG Signals Based on Compressed Sensing Theory. ANT/SEIT 2013: 206-213 - [c72]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Low Sampling-rate Approach for ECG Signals with Compressed Sensing Theory. ANT/SEIT 2013: 281-288 - [c71]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Increasing the reliability of wireless body area networks based on compressed sensing theory. CCECE 2013: 1-5 - [c70]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
Application of a variation of empirical mode decomposition and teager energy operator to EEG signals for mental task classification. EMBC 2013: 965-968 - [c69]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
EEG seizure detection and epilepsy diagnosis using a novel variation of Empirical Mode Decomposition. EMBC 2013: 4314-4317 - [c68]Mehrnaz Shokrollahi, Sridhar Krishnan:
Non-negative matrix factorization and sparse representation for sleep signal classification. EMBC 2013: 4318-4321 - [c67]Farbod Hosseyndoust Foomany, Mohammad T. H. Beheshti, Karl Magtibay, Stéphane Massé, W. Foltz, Elias Sevaptsidis, Patrick F. Lai, David A. Jaffray, Sridhar Krishnan, Kumaraswamy Nanthakumar, Karthikeyan Umapathy:
Analysis of reliability metrics and quality enhancement measures in current density imaging. EMBC 2013: 4394-4397 - [c66]Mohammadreza Balouchestani, Kaainran Raahemifar, Sridhar Krishnan:
A high reliability detection algorithm for wireless ECG systems based on compressed sensing theory. EMBC 2013: 4722-4725 - [c65]Jeevan K. Pant, Sridhar Krishnan:
Reconstruction of ECG signals for compressive sensing by promoting sparsity on the gradient. ICASSP 2013: 993-997 - [c64]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
A variation of empirical mode decomposition with intelligent peak selection in short time windows. ICASSP 2013: 5627-5631 - [c63]Guangyi Chen, Sridhar Krishnan, Yongjia Zhao, Wenfang Xie:
Illumination Invariant Face Recognition. ICIC (1) 2013: 385-391 - [c62]Guangyi Chen, Sridhar Krishnan, Weihua Liu, Wenfang Xie:
Sparse Signal Analysis Using Ramanujan Sums. ICIC (2) 2013: 450-456 - [c61]Shengkun Xie, Anna T. Lawniczak, Sridhar Krishnan:
Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA - A Monte Carlo Simulation Study. ISNN (1) 2013: 273-282 - [c60]Guangyi Chen, Tien Dai Bui, Sridhar Krishnan, Shuling Dai:
Circular Projection for Pattern Recognition. ISNN (1) 2013: 429-436 - [c59]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
New sampling approach for wireless ECG systems with compressed sensing theory. MeMeA 2013: 213-218 - [c58]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
High - Resolution QRS detection algorithm for wireless ECG systems based on compressed sensing theory. MWSCAS 2013: 1326-1329 - 2012
- [j39]Behnaz Ghoraani, Sridhar Krishnan:
Discriminant Non-stationary Signal Features' Clustering Using Hard and Fuzzy Cluster Labeling. EURASIP J. Adv. Signal Process. 2012: 250 (2012) - [j38]Shahin Sanayei Lotfabadi, Andy Gean Ye, Sridhar Krishnan:
Measuring the power efficiency of subthreshold FPGAs for implementing portable biomedical applications. Microprocess. Microsystems 36(3): 151-158 (2012) - [j37]Shengkun Xie, Feng Jin, Sridhar Krishnan, Farook Sattar:
Signal feature extraction by multi-scale PCA and its application to respiratory sound classification. Medical Biol. Eng. Comput. 50(7): 759-768 (2012) - [j36]Lakshmi Sugavaneswaran, Shengkun Xie, Karthikeyan Umapathy, Sridhar Krishnan:
Time-Frequency Analysis via Ramanujan Sums. IEEE Signal Process. Lett. 19(6): 352-355 (2012) - [c57]Shengkun Xie, Sridhar Krishnan, Anna T. Lawniczak:
Sparse principal component extraction and classification of long-term biomedical signals. CBMS 2012: 1-6 - [c56]Shengkun Xie, Sridhar Krishnan, Anna T. Lawniczak:
Analysis of communication network surveillance using functional ANOVA model with unequal variances. CISDA 2012: 1-6 - [c55]Mehrnaz Shokrollahi, Sridhar Krishnan:
Sleep EMG analysis using sparse signal representation and classification. EMBC 2012: 3480-3483 - [c54]Behnaz Ghoraani, Sridhar Krishnan, Vijay S. Chauhan:
Characterization of fractionated electrograms using a novel time-frequency based algorithm. EMBC 2012: 6361-6364 - [c53]Feng Jin, Farook Sattar, Sridhar Krishnan:
Log-frequency spectrogram for respiratory sound monitoring. ICASSP 2012: 597-600 - [c52]Shengkun Xie, Sridhar Krishnan:
Learning sparse dictionary for long-term biomedical signal classification and clustering. ISSPA 2012: 1118-1123 - [c51]Saeed Pouryazdian, Soosan Beheshti, Sridhar Sri Krishnan:
Minimum noiseless description length (MNDL) based regularization parameter selection. ISSPA 2012: 1341-1346 - [c50]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Low Power Wireless Body Area Networks with Compressed sensing theory. MWSCAS 2012: 916-919 - [c49]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Robust Wireless Sensor Networks with Compressed Sensing Theory. NDT (1) 2012: 608-619 - 2011
- [j35]Shengkun Xie, Sridhar Krishnan:
Signal classification via multi-scale PCA and empirical classification methods. Int. J. Mechatronics Autom. 1(3/4): 213-223 (2011) - [j34]Yunfeng Wu, Sridhar Krishnan:
Combining least-squares support vector machines for classification of biomedical signals: a case study with knee-joint vibroarthrographic signals. J. Exp. Theor. Artif. Intell. 23(1): 63-77 (2011) - [j33]Yaqing Niu, Matthew J. Kyan, Sridhar Krishnan, Qin Zhang:
A combined just noticeable distortion model-guided image watermarking. Signal Image Video Process. 5(4): 517-526 (2011) - [j32]Behnaz Ghoraani, Sridhar Krishnan:
Time-Frequency Matrix Feature Extraction and Classification of Environmental Audio Signals. IEEE Trans. Speech Audio Process. 19(7): 2197-2209 (2011) - [j31]Feng Jin, Sridhar Krishnan, Farook Sattar:
Adventitious Sounds Identification and Extraction Using Temporal-Spectral Dominance-Based Features. IEEE Trans. Biomed. Eng. 58(11): 3078-3087 (2011) - [c48]Hamid Asefi, Behnaz Ghoraani, Andy Gean Ye, Sridhar Krishnan:
Audio scene analysis using parametric signal features. CCECE 2011: 922-925 - [c47]Hamid Asefi, Behnaz Ghoraani, Andy Gean Ye, Sridhar Krishnan:
Hardware-software analysis of pole model features. CCECE 2011: 1288-1291 - [c46]J. Jeyaratnam, Karthikeyan Umapathy, Stéphane Massé, Krishnakumar Nair, Talha Farid, Sridhar Krishnan, Kumaraswamy Nanthakumar:
Relating spatial heterogeneities to rotor formation in studying human ventricular fibrillation. EMBC 2011: 231-234 - [c45]E. Afatmirni, Kumaraswamy Nanthakumar, Stéphane Massé, Krishnakumar Nair, Talha Farid, Sridhar Krishnan, Paul Dorian, Karthikeyan Umapathy:
Predicting refibrillation from pre-shock waveforms in optimizing cardiac resuscitation. EMBC 2011: 251-254 - [c44]Lakshmi Sugavaneswaran, Karthikeyan Umapathy, Sridhar Krishnan:
Discriminative time-frequency kernels for gait analysis for amyotrophic lateral sclerosis. EMBC 2011: 2683-2686 - [c43]Mohd Zulfaezal Che Azemin, Dinesh K. Kumar, Lakshmi Sugavaneswaran, Sridhar Krishnan:
Supervised retinal biometrics in different lighting conditions. EMBC 2011: 3971-3974 - [c42]M. F. Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan:
Telephone-quality pathological speech classification using empirical mode decomposition. EMBC 2011: 7095-7098 - [c41]Shengkun Xie, Feng Jin, Sridhar Krishnan:
Sparse approximation of long-term biomedical signals for classification via dynamic PCA. EMBC 2011: 7167-7170 - [c40]Yaqing Niu, Matthew J. Kyan, Lin Ma, Azeddine Beghdadi, Sridhar Krishnan:
A visual saliency modulated just noticeable distortion profile for image watermarking. EUSIPCO 2011: 2039-2043 - [c39]Feng Jin, Farook Sattar, Sridhar Krishnan:
Automatic respiratory sound classification using temporal-spectral dominance. ICME 2011: 1-4 - [c38]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Increasing the reliability of wireless sensor network with a new testing approach based on compressed sensing theory. WOCN 2011: 1-4 - 2010
- [j30]Ouarda Nedjah, Ali M. Hussein, Sridhar Krishnan, Reza Sotudeh:
Comparative study of adaptive techniques for denoising CN Tower lightning current derivative signals. Digit. Signal Process. 20(2): 607-618 (2010) - [j29]Soosan Beheshti, Azadeh Fakhrzadeh, Sridhar Krishnan:
Noiseless Codelength in Wavelet Denoising. EURASIP J. Adv. Signal Process. 2010 (2010) - [j28]Ying Shen, Xiaoli Li, Ngok-Wah Ma, Sridhar Krishnan:
Parametric Time-Frequency Analysis and Its Applications in Music Classification. EURASIP J. Adv. Signal Process. 2010 (2010) - [j27]Karthikeyan Umapathy, Behnaz Ghoraani, Sridhar Krishnan:
Audio Signal Processing Using Time-Frequency Approaches: Coding, Classification, Fingerprinting, and Watermarking. EURASIP J. Adv. Signal Process. 2010 (2010) - [j26]B. Jiao, Sridhar Krishnan, Adnan Kabbani:
FPGA implementation of adaptive segmentation for non-stationary biomedical signals. IET Circuits Devices Syst. 4(3): 239-250 (2010) - [j25]Yaqing Niu, Sridhar Krishnan, Qin Zhang:
Spatio-Temporal Just Noticeable Distortion Model Guided Video Watermarking. Int. J. Digit. Crime Forensics 2(4): 16-36 (2010) - [j24]Xiaoli Li, Sridhar Krishnan, Ngok-Wah Ma:
A wavelet-PCA-based fingerprinting scheme for peer-to-peer video file sharing. IEEE Trans. Inf. Forensics Secur. 5(3): 365-373 (2010) - [c37]Behnaz Ghoraani, Sridhar Krishnan:
Discriminative base decomposition for time-frequency matrix decomposition. ICASSP 2010: 3674-3677 - [c36]Yaqing Niu, Jianbo Liu, Sridhar Krishnan, Qin Zhang:
Combined just noticeable difference model guided image watermarking. ICME 2010: 1679-1684 - [c35]Talieh Seyed Tabatabaei, Sridhar Krishnan, Alagan Anpalagan:
SVM-based classification of digital modulation signals. SMC 2010: 277-280 - [c34]Talieh Seyed Tabatabaei, Sridhar Krishnan:
Towards robust speech-based emotion recognition. SMC 2010: 608-611
2000 – 2009
- 2009
- [j23]Julien Bonnel, April Khademi, Sridhar Krishnan, Cornel Ioana:
Small bowel image classification using cross-co-occurrence matrices on wavelet domain. Biomed. Signal Process. Control. 4(1): 7-15 (2009) - [j22]Behnaz Ghoraani, Sridhar Krishnan:
A Joint Time-Frequency and Matrix Decomposition Feature Extraction Methodology for Pathological Voice Classification. EURASIP J. Adv. Signal Process. 2009 (2009) - [j21]Yunfeng Wu, Sridhar Krishnan:
Computer-aided analysis of gait rhythm fluctuations in amyotrophic lateral sclerosis. Medical Biol. Eng. Comput. 47(11): 1165-1171 (2009) - [j20]Karthikeyan Umapathy, Stéphane Massé, Elias Sevaptsidis, John Asta, Sridhar Krishnan, Kumaraswamy Nanthakumar:
Spatiotemporal Frequency Analysis of Ventricular Fibrillation in Explanted Human Hearts. IEEE Trans. Biomed. Eng. 56(2): 328-335 (2009) - [c33]Behnaz Ghoraani, Sridhar Krishnan, Raja J. Selvaraj, Vijay S. Chauhan:
Adaptive time-frequency signal analysis and its case study in biomedical ecgwaveform analysis. DPS 2009: 1-5 - [c32]Yunfeng Wu, Sridhar Krishnan:
Classification of knee-joint vibroarthrographic signals using time-domain and time-frequency domain features and least-squares support vector machine. DPS 2009: 1-6 - [c31]April Khademi, Farhang Sahba, Anastasios N. Venetsanopoulos, Sridhar Krishnan:
Region, Lesion and Border-Based Multiresolution Analysis of Mammogram Lesions. ICIAR 2009: 802-813 - [c30]Yaqing Niu, Jianbo Liu, Sridhar Krishnan, Qin Zhang:
Spatio-temporal Just Noticeable Distortion Model Guided Video Watermarking. PCM 2009: 887-897 - [c29]Yashodhan Rajiv Athavale, Aziz Guergachi, Pouyan Hosseinizadeh, Sridhar Krishnan:
Identifying the potential for Failure of Businesses in the Technology, Pharmaceutical and Banking Sectors using Kernel-based Machine Learning Methods. SMC 2009: 1073-1077 - 2008
- [j19]Danoush Hosseinzadeh, Sridhar Krishnan:
On the Use of Complementary Spectral Features for Speaker Recognition. EURASIP J. Adv. Signal Process. 2008 (2008) - [j18]Danoush Hosseinzadeh, Sridhar Krishnan:
Gaussian Mixture Modeling of Keystroke Patterns for Biometric Applications. IEEE Trans. Syst. Man Cybern. Part C 38(6): 816-826 (2008) - [c28]Ouarda Nedjah, Ali M. Hussein, Sridhar Krishnan, Reza Sotudeh:
CN Tower Lightning Current Derivative Heidler Model Analysis and Transmission. EMS 2008: 268-273 - [c27]Mathieu Parvaix, Sridhar Krishnan, Cornel Ioana:
An audio watermarking method based on molecular matching pursuit. ICASSP 2008: 1721-1724 - 2007
- [j17]Karthikeyan Umapathy, Sridhar Krishnan:
Perceptual Coding of Audio Signals Using Adaptive Time-Frequency Transform. EURASIP J. Audio Speech Music. Process. 2007 (2007) - [j16]Sridhar Krishnan, Serhat Erküçük:
Interference Excision in Spread Spectrum Communications Using Adaptive Positive Time-Frequency Analysis. EURASIP J. Wirel. Commun. Netw. 2007 (2007) - [j15]April Khademi, Sridhar Krishnan:
Shift-invariant discrete wavelet transform analysis for retinal image classification. Medical Biol. Eng. Comput. 45(12): 1211-1222 (2007) - [j14]Karthikeyan Umapathy, Sridhar Krishnan, R. K. Rao:
Audio Signal Feature Extraction and Classification Using Local Discriminant Bases. IEEE Trans. Speech Audio Process. 15(4): 1236-1246 (2007) - [j13]Karthikeyan Umapathy, Sridhar Krishnan:
Time-Width Versus Frequency Band Mapping of Energy Distributions. IEEE Trans. Signal Process. 55(3): 978-989 (2007) - [c26]Cornel Ioana, Arnaud Jarrot, André Quinquis, Sridhar Krishnan:
A Watermarking Method for Speech Signals Based on the Time-Warping Signal Processing Concept. ICASSP (2) 2007: 201-204 - [c25]Randa Zarifeh, Nandini Alinier, Sridhar Krishnan, Alagan Anpalagan:
Interference Detection in Spread Spectrum Communication Using Polynomial Phase Transform. ICC 2007: 2979-2984 - [c24]Talieh Seyed Tabatabaei, Sridhar Krishnan, Aziz Guergachi:
Emotion Recognition Using Novel Speech Signal Features. ISCAS 2007: 345-348 - [c23]Danoush Hosseinzadeh, Sridhar Krishnan:
Combining Vocal Source and MFCC Features for Enhanced Speaker Recognition Performance Using GMMs. MMSP 2007: 365-368 - [c22]Tahir Farooq, Aziz Guergachi, Sridhar Krishnan:
Chaotic time series prediction using knowledge based Green's Kernel and least-squares support vector machines. SMC 2007: 373-378 - 2006
- [j12]Lam Le, Sridhar Krishnan:
Time-Frequency Signal Synthesis and Its Application in Multimedia Watermark Detection. EURASIP J. Adv. Signal Process. 2006 (2006) - [j11]Xiaoli Li, Sridhar Krishnan, Ngok-Wah Ma:
Application of grammar-based codes for lossless compression of digital mammograms. J. Electronic Imaging 15(1): 013021 (2006) - [j10]Karthikeyan Umapathy, Sridhar Krishnan:
Modified local discriminant bases algorithm and its application in analysis of human knee joint vibration signals. IEEE Trans. Biomed. Eng. 53(3): 517-523 (2006) - [j9]Arunan Ramalingam, Sridhar Krishnan:
Gaussian Mixture Modeling of Short-Time Fourier Transform Features for Audio Fingerprinting. IEEE Trans. Inf. Forensics Secur. 1(4): 457-463 (2006) - [j8]Serhat Erküçük, Sridhar Krishnan, Mehmet Zeytinoglu:
A Robust Audio Watermark Representation Based on Linear Chirps. IEEE Trans. Multim. 8(5): 925-936 (2006) - [c21]Talieh Seyed Tabatabaei, Tahir Farooq, Aziz Guergachi, Sridhar Krishnan:
Support Vector Machines Based Approach for Chemical Phosphorus Removal Process in Wastewater Treatment Plant. CCECE 2006: 318-322 - [c20]Mohammad Aram, Baice Li, Sridhar Krishnan, Alagan Anpalagan, Bern Grush:
Improving Position Estimates from a Stationary GNSS Receiver using Wavelets and Clustering. CCECE 2006: 758-762 - [c19]Jonathan Marchal, Cornel Ioana, Emanuel Radoi, André Quinquis, Sridhar Krishnan:
Soccer Video Retrival Using Adaptive Time-Frequency Methods. ICASSP (5) 2006: 509-512 - [c18]Danoush Hosseinzadeh, Sridhar Krishnan, April Khademi:
Keystroke Identification Based on Gaussian Mixture Models. ICASSP (3) 2006: 1144-1147 - [c17]Kambiz Jarrah, Matthew J. Kyan, Sridhar Sri Krishnan, Ling Guan:
Computational Intellegence Techniques and their Applications in Content-Based Image Retrieval. ICME 2006: 33-36 - [c16]Lam Le, Sridhar Krishnan, Behnaz Ghoraani:
Discrete Polynomial Transform for Digital Imagewatermarking Application. ICME 2006: 1569-1572 - [c15]Behnaz Ghoraani, Sridhar Krishnan:
Chirp-Based Image Watermarking as Error-Control Coding. IIH-MSP 2006: 647-650 - [c14]Kambiz Jarrah, Sridhar Krishnan, Ling Guan:
Automatic Content-Based Image Retrieval Using Hierarchical Clustering Algorithms. IJCNN 2006: 3532-3537 - 2005
- [j7]Sridhar Krishnan:
A New Approach for Estimation of Instantaneous Mean Frequency of a Time-Varying Signal. EURASIP J. Adv. Signal Process. 2005(17): 2848-2855 (2005) - [j6]Karthikeyan Umapathy, Sridhar Krishnan:
Feature analysis of pathological speech signals using local discriminant bases technique. Medical Biol. Eng. Comput. 43(4): 457-464 (2005) - [j5]Karthikeyan Umapathy, Sridhar Krishnan, Vijay Parsa, Donald G. Jamieson:
Discrimination of pathological voices using a time-frequency approach. IEEE Trans. Biomed. Eng. 52(3): 421-430 (2005) - [j4]Karthikeyan Umapathy, Sridhar Krishnan, Shihab Jimaa:
Multigroup classification of audio signals using time-frequency parameters. IEEE Trans. Multim. 7(2): 308-315 (2005) - [c13]Libo Zhang, Heping Ding, Sridhar Krishnan:
Data embedding in μ-law speech with spread spectrum techniques. GLOBECOM 2005: 4 - [c12]Syed G. Quadri, Sridhar Krishnan, Ling Guan:
Indexing of NFL Video using MPEG-7 Descriptors and MFCC features. ICASSP (2) 2005: 429-432 - [c11]Karthikeyan Umapathy, Sridhar Krishnan:
A signal classification approach using time-width vs frequency band sub-energy distributions. ICASSP (5) 2005: 477-480 - [c10]Arunan Ramalingam, Sridhar Krishnan:
Gaussian Mixture Modeling Using Short Time Fourier Transform Features for Audio Fingerprinting. ICME 2005: 1146-1149 - 2004
- [c9]Shahrzad Esmaili, Sridhar Krishnan, Kaamran Raahemifar:
Content based audio classification and retrieval using joint time-frequency analysis. ICASSP (5) 2004: 665-668 - [c8]Karthikeyan Umapathy, Sridhar Krishnan:
Modified local discriminant bases and its applications in signal classification [biomedical signal examples]. ICASSP (2) 2004: 745-748 - 2003
- [c7]Serhat Erküçük, Sridhar Krishnan, Mehmet Zeytinoglu:
Robust audio watermarking using a chirp based technique. ICME 2003: 513-516 - [c6]Serhat Erküçük, Sridhar Krishnan:
Time-frequency filtering of interferences in spread spectrum communications. ISSPA (2) 2003: 323-326 - 2002
- [c5]Karthikeyan Umapathy, Sridhar Krishnan, Vijay Parsa, Donald G. Jamieson:
Discrimination of pathological voices using an adaptive time-frequency approach. ICASSP 2002: 3852-3855 - [c4]Serhat Erküçük, Sridhar Krishnan:
Interference excision in spread spectrum communications using adaptive positive time-frequency distributions. ICASSP 2002: 4180 - [c3]Shynimol Thayilchira, Sridhar Krishnan:
Detection of linear chirp and non-linear chirp interferences in a spread spectrum signal by using Hough-Radon transform. ICASSP 2002: 4181 - [c2]Karthikeyan Umapathy, Sridhar Krishnan, Shihab Jimaa:
Audio signal classification using time-frequency parameters. ICME (2) 2002: 249-252 - 2001
- [j3]Rangaraj M. Rangayyan, Sridhar Krishnan:
Feature identification in the time-frequency plane by using the Hough-Radon transform. Pattern Recognit. 34(6): 1147-1158 (2001) - [c1]Sridhar Krishnan, Rangaraj M. Rangayyan, Karthikeyan Umapathy:
A time-frequency approach for auditory display of time-varying signals. SIP 2001: 236-241 - 2000
- [j2]Sridhar Krishnan, Rangaraj M. Rangayyan, Gordon Douglas Bell, Cyril B. Frank:
Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology. IEEE Trans. Biomed. Eng. 47(6): 773-783 (2000)
1990 – 1999
- 1997
- [j1]Rangaraj M. Rangayyan, Sridhar Krishnan, G. Duncan Bell, Cyril B. Frank, Katherine O. Ladly:
Parametric representation and screening of knee joint vibroarthrographic signals. IEEE Trans. Biomed. Eng. 44(11): 1068-1074 (1997)
Coauthor Index
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