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2020 – today
- 2024
[c77]Robin Rajamäki, Mehmet Can Hücümenoglu, Pulak Sarangi, Piya Pal:
Effect of Beampattern on Matrix Completion with Sparse Arrays. ICASSP 2024: 13451-13455- [c76]Parthasarathi Khirwadkar, Mehmet Can Hücümenoglu, Piya Pal:
DynaPA: Dynamic Power Allocation for Improved Exploration-Exploitation in Active Sensing. SAM 2024: 1-5 - [c75]Hessam Mahdavifar, Robin Rajamäki, Piya Pal:
Subspace Coding for Spatial Sensing. ISIT 2024: 2394-2399 - [i2]Hessam Mahdavifar, Robin Rajamäki, Piya Pal:
Subspace Coding for Spatial Sensing. CoRR abs/2407.02963 (2024) - 2023
- [j35]Giuseppe Caire, Natasha Devroye, Elza Erkip, Yue Lu, Piya Pal, Mahyar Shirvanimoghadam, A. Lee Swindlehurst, Michael Wakin, Michèle A. Wigger:
Guest Editorial Special Issue on Sensing: Fundamental Limits and Modern Applications. IEEE J. Sel. Areas Inf. Theory 4: xiv-xvi (2023) - [j34]Pulak Sarangi
, Ryoma Hattori, Takaki Komiyama, Piya Pal:
Super-Resolution With Binary Priors: Theory and Algorithms. IEEE Trans. Signal Process. 71: 3213-3228 (2023) - [j33]Pulak Sarangi, Mehmet Can Hücümenoglu, Robin Rajamäki, Piya Pal:
Super-Resolution With Sparse Arrays: A Nonasymptotic Analysis of Spatiotemporal Trade-Offs. IEEE Trans. Signal Process. 71: 4288-4302 (2023) - [c74]Parthasarathi Khirwadkar, Sina Shahsavari, Mehmet Can Hücümenoglu, Piya Pal:
Max-Min Hierarchical Codebooks for Millimeter-Wave Channel Sensing with Bandit Algorithms. ACSSC 2023: 387-392 - [c73]Yinyan Bu, Robin Rajamäki, Pulak Sarangi, Piya Pal:
Harnessing Holes for Spatial Smoothing with Applications in Automotive Radar. ACSSC 2023: 1308-1312 - [c72]Jiawen Chen, Eric T. Ahrens, Piya Pal:
Physics-Driven Learned Deconvolution of Multi-Spectral Cellular MRI with Radial Sampling. ACSSC 2023: 1453-1457 - [c71]Robin Rajamäki, Piya Pal:
Importance of Array Redundancy Pattern in Active Sensing. CAMSAP 2023: 156-160 - [c70]Mehmet Can Hücümenoglu, Pulak Sarangi, Robin Rajamäki, Piya Pal:
To Regularize or Not to Regularize: The Role of Positivity in Sparse Array Interpolation with a Single Snapshot. ICASSP 2023: 1-5 - 2022
- [j32]Pulak Sarangi, Piya Pal:
Measurement Matrix Design for Sample-Efficient Binary Compressed Sensing. IEEE Signal Process. Lett. 29: 1307-1311 (2022) - [j31]Pulak Sarangi, Mehmet Can Hücümenoglu, Piya Pal:
Single-Snapshot Nested Virtual Array Completion: Necessary and Sufficient Conditions. IEEE Signal Process. Lett. 29: 2113-2117 (2022) - [c69]Mehmet Can Hücümenoglu, Robin Rajamäki, Piya Pal:
Geometry of Random Sparse Arrays. IEEECONF 2022: 476-480 - [c68]Sina Shahsavari, Jiawen Chen, Piya Pal:
Exploring the Geometry of Generative Priors with Applications in Cellular MRI. IEEECONF 2022: 1010-1015 - [c67]Jake Millhiser, Pulak Sarangi, Piya Pal:
Initialization-Free Implicit-Focusing (IF2) for Wideband Direction-of-Arrival Estimation. ICASSP 2022: 4973-4977 - [c66]Sina Shahsavari, Pulak Sarangi, Mehmet Can Hücümenoglu, Piya Pal:
Ada-JSR: Sample Efficient Adaptive Joint Support Recovery From Extremely Compressed Measurement Vectors. ICASSP 2022: 9077-9081 - 2021
- [j30]Pulak Sarangi, Mehmet Can Hücümenoglu, Piya Pal:
Beyond Coarray MUSIC: Harnessing the Difference Sets of Nested Arrays With Limited Snapshots. IEEE Signal Process. Lett. 28: 2172-2176 (2021) - [j29]Tirza Routtenberg, Alberto Carini, Emilie Chouzenoux, Piya Pal, José Carlos Moreira Bermudez, Lucio Marcenaro:
Fight the Pandemic: Highlights From the 2020 IEEE 5-Minute Video Clip Contest [SP Competitions]. IEEE Signal Process. Mag. 38(2): 138-143 (2021) - [c65]Sina Shahsavari, Pulak Sarangi, Piya Pal:
KR-LISTA: Re-Thinking Unrolling for Covariance-Driven Sparse Inverse Problems. ACSCC 2021: 1403-1408 - [c64]Mehmet Can Hücümenoglu, Pulak Sarangi, Piya Pal:
Exploring Fundamental Limits of Spatiotemporal Sensing for Non-Linear Inverse problems. ACSCC 2021: 1409-1413 - [c63]Robin Rajamäki, Piya Pal, Visa Koivunen:
Resource-Efficient Active Compressive Sensing Using Analog Beamforming and Sparse Arrays. ACSCC 2021: 1640-1645 - [c62]Fauzia Ahmad, Piya Pal, Tongdi Zhou:
Reliable DOA Estimation in Spatially Correlated Noise With Nonuniform Arrays. ACSCC 2021: 1646-1650 - [c61]Sina Shahsavari, Jacob Millhiser, Piya Pal:
Fundamental Trade-Offs in Noisy Super-Resolution with Synthetic Apertures. ICASSP 2021: 4620-4624 - [c60]Pulak Sarangi, Piya Pal:
No Relaxation: Guaranteed Recovery of Finite-Valued Signals from Undersampled Measurements. ICASSP 2021: 5440-5444 - 2020
- [j28]Ali Koochakzadeh, Piya Pal:
Compressed Arrays and Hybrid Channel Sensing: A Cramér-Rao Bound Based Analysis. IEEE Signal Process. Lett. 27: 1395-1399 (2020) - [c59]Pulak Sarangi, Sina Shahsavari, Piya Pal:
Robust DOA and Subspace Estimation for Hybrid Channel Sensing. ACSSC 2020: 236-240 - [c58]Mehmet Can Hücümenoglu, Piya Pal:
Learning Polynomial Neural Networks via Low Rank Tensor Recovery. ACSSC 2020: 361-365 - [c57]Pulak Sarangi, Mehmet Can Hücümenoglu, Piya Pal:
Effect of Undersampling on Non-Negative Blind Deconvolution with Autoregressive Filters. ICASSP 2020: 5725-5729 - [c56]Heng Qiao, Sina Shahsavari, Piya Pal:
Super-Resolution with Noisy Measurements: Reconciling Upper and Lower Bounds. ICASSP 2020: 9304-9308 - [c55]Ali Koochakzadeh, Piya Pal:
Channel Estimation for Hybrid MIMO Communication with (Non-) Uniform Linear Arrays via Tensor Decomposition. SAM 2020: 1-5 - [c54]Heng Qiao, Pulak Sarangi, Yazeed Alnumay, Piya Pal:
Sample complexity trade-offs for synthetic aperture based high-resolution estimation and detection. SAM 2020: 1-5
2010 – 2019
- 2019
- [j27]Qing Shen, Wei Liu, Wei Cui, Siliang Wu, Piya Pal:
Simplified and Enhanced Multiple Level Nested Arrays Exploiting High-Order Difference Co-Arrays. IEEE Trans. Signal Process. 67(13): 3502-3515 (2019) - [j26]Heng Qiao, Piya Pal:
Guaranteed Localization of More Sources Than Sensors With Finite Snapshots in Multiple Measurement Vector Models Using Difference Co-Arrays. IEEE Trans. Signal Process. 67(22): 5715-5729 (2019) - [c53]Mehmet Can Hücümenoglu, Piya Pal:
On the Role of Sampling in Underdetermined Tensor Decomposition with Kronecker and Khatri-Rao Structured Factors. ACSSC 2019: 442-446 - [c52]Ali Koochakzadeh, Pulak Sarangi, Piya Pal:
A Sequential Approach for Sparse Support Recovery using Correlation Priors. ACSSC 2019: 586-590 - [c51]Pulak Sarangi, Mehmet Can Hücümenoglu, Piya Pal:
Understanding Sample Complexities for Structured Signal Recovery from Non-Linear Measurements. CAMSAP 2019: 81-85 - [c50]Ali Koochakzadeh, Piya Pal:
On flattening of symmetric tensors and identification of latent factors. CISS 2019: 1-2 - [c49]Ali Koochakzadeh, Piya Pal:
Canonical Polyadic (CP) Decomposition of Structured Semi-Symmetric Fourth-Order Tensors. DSW 2019: 305-309 - [c48]Heng Qiao, Piya Pal:
A Non-convex Approach to Non-negative Super-resolution: Theory and Algorithm. ICASSP 2019: 4220-4224 - 2018
- [j25]Piya Pal:
Correlation Awareness in Low-Rank Models: Sampling, Algorithms, and Fundamental Limits. IEEE Signal Process. Mag. 35(4): 56-71 (2018) - [j24]Ali Koochakzadeh, Heng Qiao, Piya Pal:
On Fundamental Limits of Joint Sparse Support Recovery Using Certain Correlation Priors. IEEE Trans. Signal Process. 66(17): 4612-4625 (2018) - [c47]Heng Qiao, Mehmet Can Hücümenoglu, Piya Pal:
Compressive Kriging Using Multi-Dimensional Generalized Nested Sampling. ACSSC 2018: 84-88 - [c46]Ali Koochakzadeh, Pulak Sarangi, Piya Pal:
Mixed Factor Structured Tensor Decomposition via Solving Quadratic Equations. ACSSC 2018: 647-651 - [c45]Ali Koochakzadeh, Piya Pal:
Simplified Algorithms for Canonical Polyadic Decomposition for Over-Complete Even Order Tensors (Ongoing Work). GlobalSIP 2018: 1346-1347 - [c44]Ali Koochakzadeh, Piya Pal:
Non-Asymptotic Guarantees for Correlation-Aware Support Detection. ICASSP 2018: 3181-3185 - [c43]Heng Qiao, Piya Pal:
On the Modulus of Continuity for Noisy Positive Super-Resolution. ICASSP 2018: 3454-3458 - [c42]Pulak Sarangi, Piya Pal:
Robust Sparse Phase Retrieval from Differential Measurements Using Reweighted $L_{1}$ Minimization. SAM 2018: 223-227 - [c41]Santosh Nannuru, Peter Gerstoft, Ali Koochakzadeh, Piya Pal:
Sparse Bayesian Learning for DOA Estimation Using Co-Prime and Nested Arrays. SAM 2018: 519-523 - [c40]Ali Koochakzadeh, Piya Pal:
Beam-Pattern Design for Hybrid Beamforming Using Wirtinger Flow. SPAWC 2018: 1-5 - 2017
- [j23]Moeness G. Amin, Palghat P. Vaidyanathan, Yimin D. Zhang, Piya Pal:
Editorial for coprime special issue. Digit. Signal Process. 61: 1-2 (2017) - [j22]Ali Koochakzadeh, Piya Pal:
Sparse source localization using perturbed arrays via bi-affine modeling. Digit. Signal Process. 61: 15-25 (2017) - [j21]Heng Qiao, Piya Pal:
On Maximum-Likelihood Methods for Localizing More Sources Than Sensors. IEEE Signal Process. Lett. 24(5): 703-706 (2017) - [j20]Ali Koochakzadeh, Piya Pal:
Performance of Uniform and Sparse Non-Uniform Samplers In Presence of Modeling Errors: A Cramér-Rao Bound Based Study. IEEE Trans. Signal Process. 65(6): 1607-1621 (2017) - [j19]Heng Qiao, Piya Pal:
Gridless Line Spectrum Estimation and Low-Rank Toeplitz Matrix Compression Using Structured Samplers: A Regularization-Free Approach. IEEE Trans. Signal Process. 65(9): 2221-2236 (2017) - [j18]Abbas Kazemipour, Sina Miran, Piya Pal, Behtash Babadi, Min Wu:
Sampling Requirements for Stable Autoregressive Estimation. IEEE Trans. Signal Process. 65(9): 2333-2347 (2017) - [c39]Heng Qiao, Piya Pal:
Performance limits of covariance-driven super resolution imaging. ACSSC 2017: 681-685 - [c38]Ali Koochakzadeh, Piya Pal, Eric T. Ahrens:
Spike localization in Zero Time of Echo (ZTE) magnetic resonance imaging. ACSSC 2017: 1585-1589 - [c37]Ali Koochakzadeh, Piya Pal:
On canonical polyadic decomposition of overcomplete tensors of arbitrary even order. CAMSAP 2017: 1-5 - [c36]Heng Qiao, Piya Pal:
Understanding the role of positive constraints in sparse bilinear problems. CAMSAP 2017: 1-5 - [c35]Pulak Sarangi, Heng Qiao, Piya Pal:
On the role of sampling and sparsity in phase retrieval for optical coherence tomography. CAMSAP 2017: 1-5 - [c34]Piya Pal:
Analyzing the role of correlation-awareness in sparse estimation and detection. CISS 2017: 1 - [c33]Heng Qiao, Piya Pal:
Unified analysis of co-array interpolation for direction-of-arrival estimation. ICASSP 2017: 3056-3060 - [c32]Ali Koochakzadeh, Piya Pal:
On saturation of the Cramér Rao Bound for Sparse Bayesian Learning. ICASSP 2017: 3081-3085 - [c31]Heng Qiao, Piya Pal:
Multiple hypothesis testing for dynamic support recovery. SPAWC 2017: 1-5 - 2016
- [j17]Ali Koochakzadeh, Piya Pal:
Cramér-Rao Bounds for Underdetermined Source Localization. IEEE Signal Process. Lett. 23(7): 919-923 (2016) - [c30]Heng Qiao, Piya Pal:
Stable compressive low rank Toeplitz covariance estimation without regularization. ACSSC 2016: 384-388 - [c29]Ali Koochakzadeh, Piya Pal:
Exact localization of correlated sources using 2D harmonics retrieval. ACSSC 2016: 1503-1507 - [c28]Heng Qiao, Ali Koochakzadeh, Piya Pal:
Correlation-aware sensing in active and passive modes for source localization. ACSSC 2016: 1692-1696 - [c27]Heng Qiao, Piya Pal:
Sparse phase retrieval with near minimal measurements: A structured sampling based approach. ICASSP 2016: 4722-4726 - [c26]Heng Qiao, Piya Pal:
Finite sample analysis of covariance compression using structured samplers. SAM 2016: 1-5 - [c25]Chun-Lin Liu, P. P. Vaidyanathan, Piya Pal:
Coprime coarray interpolation for DOA estimation via nuclear norm minimization. ISCAS 2016: 2639-2642 - [i1]Abbas Kazemipour, Sina Miran, Piya Pal, Behtash Babadi, Min Wu:
Sampling Requirements for Stable Autoregressive Estimation. CoRR abs/1605.01436 (2016) - 2015
- [j16]Moeness G. Amin, P. P. Vaidyanathan, Yimin D. Zhang, Piya Pal:
Special issue on Co-prime sampling and arrays. Digit. Signal Process. 45: 1 (2015) - [j15]Heng Qiao, Piya Pal:
Generalized Nested Sampling for Compressing Low Rank Toeplitz Matrices. IEEE Signal Process. Lett. 22(11): 1844-1848 (2015) - [j14]Piya Pal, P. P. Vaidyanathan:
Pushing the Limits of Sparse Support Recovery Using Correlation Information. IEEE Trans. Signal Process. 63(3): 711-726 (2015) - [c24]Piya Pal:
Dictionary learning from quadratic measurements in block sparse models. ACSSC 2015: 498-502 - [c23]Ali Koochakzadeh, Piya Pal:
Rank deficiency and sparsity in partially observed multiple measurement vector models. ACSSC 2015: 1500-1504 - [c22]Ali Koochakzadeh, Piya Pal:
On the robustness of co-prime sampling. EUSIPCO 2015: 2825-2829 - [c21]Heng Qiao, Piya Pal:
Sparse phase retrieval using partial nested fourier samplers. GlobalSIP 2015: 522-526 - 2014
- [j13]Piya Pal, P. P. Vaidyanathan:
A Grid-Less Approach to Underdetermined Direction of Arrival Estimation Via Low Rank Matrix Denoising. IEEE Signal Process. Lett. 21(6): 737-741 (2014) - [j12]Qi Cheng, Piya Pal, Masashi Tsuji, Yingbo Hua:
An MDL Algorithm for Detecting More Sources Than Sensors Using Outer-Products of Array Output. IEEE Trans. Signal Process. 62(24): 6438-6453 (2014) - [c20]Piya Pal, P. P. Vaidyanathan:
Gridless methods for underdetermined source estimation. ACSSC 2014: 111-115 - [c19]Heng Qiao, Piya Pal:
Generalized nested sampling for compression and exact recovery of symmetric Toeplitz matrices. GlobalSIP 2014: 443-447 - [c18]P. P. Vaidyanathan, Piya Pal:
The farey-dictionary for sparse representation of periodic signals. ICASSP 2014: 360-364 - [c17]Piya Pal, P. P. Vaidyanathan:
Parameter identifiability in Sparse Bayesian Learning. ICASSP 2014: 1851-1855 - [c16]Piya Pal, P. P. Vaidyanathan:
Soft-thresholding for spectrum sensing with coprime samplers. SAM 2014: 517-520 - 2013
- [c15]P. P. Vaidyanathan, Piya Pal:
Why does direct-MUSIC on sparse-arrays work? ACSSC 2013: 2007-2011 - [c14]Piya Pal, P. P. Vaidyanathan:
Conditions for identifiability in sparse spatial spectrum sensing. EUSIPCO 2013: 1-5 - [c13]Piya Pal, P. P. Vaidyanathan:
Correlation-aware sparse support recovery: Gaussian sources. ICASSP 2013: 5880-5884 - 2012
- [j11]Piya Pal, Pavanapuresan Vaidyanathan:
Multiple Level Nested Array: An Efficient Geometry for 2q th Order Cumulant Based Array Processing. IEEE Trans. Signal Process. 60(3): 1253-1269 (2012) - [j10]Piya Pal, P. P. Vaidyanathan:
Nested Arrays in Two Dimensions, Part I: Geometrical Considerations. IEEE Trans. Signal Process. 60(9): 4694-4705 (2012) - [j9]Piya Pal, P. P. Vaidyanathan:
Nested Arrays in Two Dimensions, Part II: Application in Two Dimensional Array Processing. IEEE Trans. Signal Process. 60(9): 4706-4718 (2012) - [c12]Piya Pal, P. P. Vaidyanathan:
On application of LASSO for sparse support recovery with imperfect correlation awareness. ACSCC 2012: 958-962 - [c11]P. P. Vaidyanathan, Piya Pal:
Session TP3a: Information theoretic signal processing. ACSCC 2012: 1217-1218 - [c10]P. P. Vaidyanathan, Piya Pal:
Role of bandwidth in the quality of inversion of linear multirate systems with noise. ACSCC 2012: 1233-1237 - [c9]Piya Pal, P. P. Vaidyanathan:
Correlation-aware techniques for sparse support recovery. SSP 2012: 53-56 - 2011
- [j8]P. P. Vaidyanathan, Piya Pal:
Generating New Commuting Coprime Matrix Pairs From Known Pairs. IEEE Signal Process. Lett. 18(5): 303-306 (2011) - [j7]P. P. Vaidyanathan, Piya Pal:
Sparse Sensing With Co-Prime Samplers and Arrays. IEEE Trans. Signal Process. 59(2): 573-586 (2011) - [j6]Piya Pal, P. P. Vaidyanathan:
Coprimality of Certain Families of Integer Matrices. IEEE Trans. Signal Process. 59(4): 1481-1490 (2011) - [j5]P. P. Vaidyanathan, Piya Pal:
A General Approach to Coprime Pairs of Matrices, Based on Minors. IEEE Trans. Signal Process. 59(8): 3536-3548 (2011) - [j4]P. P. Vaidyanathan, Piya Pal:
Theory of Sparse Coprime Sensing in Multiple Dimensions. IEEE Trans. Signal Process. 59(8): 3592-3608 (2011) - [c8]P. P. Vaidyanathan, Piya Pal:
Coprime sampling for system stabilization with FIR multirate controllers. ACSCC 2011: 341-345 - [c7]Piya Pal, P. P. Vaidyanathan:
Non uniform linear arrays for improved identifiability in cumulant based DOA Estimation. ACSCC 2011: 608-612 - [c6]Piya Pal, Palghat P. Vaidyanathan:
Two dimensional nested arrays on lattices. ICASSP 2011: 2548-2551 - [c5]Palghat P. Vaidyanathan, Piya Pal:
Adjugate pairs of sparse arrays for sampling two dimensional signals. ICASSP 2011: 3936-3939 - 2010
- [j3]Palghat P. Vaidyanathan, Piya Pal:
System Identification With Sparse Coprime Sensing. IEEE Signal Process. Lett. 17(10): 823-826 (2010) - [j2]Piya Pal, P. P. Vaidyanathan:
Nested arrays: a novel approach to array processing with enhanced degrees of freedom. IEEE Trans. Signal Process. 58(8): 4167-4181 (2010) - [j1]Piya Pal:
Erratum to "nested arrays: a novel approach to array processing with enhanced degrees of freedom". IEEE Trans. Signal Process. 58(9): 4973 (2010) - [c4]Piya Pal, P. P. Vaidyanathan:
A novel array structure for directions-of-arrival estimation with increased degrees of freedom. ICASSP 2010: 2606-2609 - [c3]Piya Pal, P. P. Vaidyanathan:
Beamforming using passive nested arrays of sensors. ISCAS 2010: 2840-2843
2000 – 2009
- 2009
- [c2]Piya Pal, P. P. Vaidyanathan:
Frequency invariant MVDR beamforming without filters and implementation using MIMO radar. ICASSP 2009: 2081-2084 - 2008
- [c1]P. P. Vaidyanathan, Piya Pal, Chun-Yang Chen:
MIMO radar with broadband waveforms: Smearing filter banks and 2D virtual arrays. ACSCC 2008: 188-192
Coauthor Index
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