
Marian Verhelst
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2020 – today
- 2020
- [j44]Juan Sebastian P. Giraldo
, Steven Lauwereins, Komail M. H. Badami, Marian Verhelst
:
Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10- $\mu$ W Keyword Spotting and Speaker Verification. IEEE J. Solid State Circuits 55(4): 868-878 (2020) - [j43]Athanasios T. Ramkaj
, Juan Carlos Pena Ramos, J. M. Marcel Pelgrom
, Michiel S. J. Steyaert
, Marian Verhelst
, Filip Tavernier
:
A 5-GS/s 158.6-mW 9.4-ENOB Passive-Sampling Time-Interleaved Three-Stage Pipelined-SAR ADC With Analog-Digital Corrections in 28-nm CMOS. IEEE J. Solid State Circuits 55(6): 1553-1564 (2020) - [j42]Fernando de la Hucha Arce
, Marc Moonen, Marian Verhelst, Alexander Bertrand
:
Distributed adaptive node-specific signal estimation in a wireless sensor network with noisy links. Signal Process. 166 (2020) - [j41]Leandro Mateus Giacomini Rocha
, Dwaipayan Biswas
, Bram-Ernst Verhoef, Sergio Bampi, Chris Van Hoof
, Mario Konijnenburg
, Marian Verhelst
, Nick Van Helleputte
:
Binary CorNET: Accelerator for HR Estimation From Wrist-PPG. IEEE Trans. Biomed. Circuits Syst. 14(4): 715-726 (2020) - [c92]Nimish Shah
, Laura Isabel Galindez Olascoaga, Wannes Meert
, Marian Verhelst:
Acceleration of probabilistic reasoning through custom processor architecture. DATE 2020: 322-325 - [c91]Tom R. Molderez, Korneel Rabaey, Marian Verhelst:
An Affordable Multichannel Potentiostat with 128 Individual Stimulation and Sensing Channels. I2MTC 2020: 1-6 - [c90]Laura Isabel Galindez Olascoaga, Wannes Meert
, Nimish Shah
, Guy Van den Broeck, Marian Verhelst:
Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams. IDA 2020: 184-196 - [i10]Colby R. Banbury, Vijay Janapa Reddi, Max Lam, William Fu, Amin Fazel, Jeremy Holleman, Xinyuan Huang, Robert Hurtado, David Kanter, Anton Lokhmotov, David A. Patterson, Danilo Pau, Jae-sun Seo, Jeff Sieracki, Urmish Thakker, Marian Verhelst, Poonam Yadav:
Benchmarking TinyML Systems: Challenges and Direction. CoRR abs/2003.04821 (2020) - [i9]Linyan Mei, Pouya Houshmand, Vikram Jain, Juan Sebastian P. Giraldo, Marian Verhelst:
ZigZag: A Memory-Centric Rapid DNN Accelerator Design Space Exploration Framework. CoRR abs/2007.11360 (2020) - [i8]Robby Neven, Marian Verhelst, Tinne Tuytelaars, Toon Goedemé:
Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules. CoRR abs/2009.09675 (2020)
2010 – 2019
- 2019
- [j40]Koen Goetschalckx
, Marian Verhelst
:
Breaking High-Resolution CNN Bandwidth Barriers With Enhanced Depth-First Execution. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 323-331 (2019) - [j39]Vincent Camus
, Linyan Mei
, Christian Enz
, Marian Verhelst
:
Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(4): 697-711 (2019) - [j38]Daniel Bankman
, Lita Yang
, Bert Moons
, Marian Verhelst
, Boris Murmann
:
An Always-On 3.8 $\mu$ J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS. IEEE J. Solid State Circuits 54(1): 158-172 (2019) - [j37]Thomas Bos
, Wentao Jiang
, Jan D'hooge
, Marian Verhelst
, Wim Dehaene
:
Enabling Ultrasound In-Body Communication: FIR Channel Models and QAM Experiments. IEEE Trans. Biomed. Circuits Syst. 13(1): 135-144 (2019) - [j36]Tom R. Molderez
, Xu Zhang, Korneel Rabaey
, Marian Verhelst:
A Current-Driven Six-Channel Potentiostat for Rapid Performance Characterization of Microbial Electrolysis Cells. IEEE Trans. Instrum. Meas. 68(12): 4694-4702 (2019) - [j35]Massimo Alioto, Magdy S. Abadir, Tughrul Arslan, Chirn Chye Boon, Andreas Burg, Chip-Hong Chang
, Meng-Fan Chang, Yao-Wen Chang, Poki Chen, Pasquale Corsonello, Paolo Crovetti, Shiro Dosho, Rolf Drechsler
, Ibrahim Abe M. Elfadel, Ruonan Han, Masanori Hashimoto, Chun-Huat Heng, Deukhyoun Heo, Tsung-Yi Ho
, Houman Homayoun, Yuh-Shyan Hwang, Ajay Joshi, Rajiv V. Joshi, Tanay Karnik, Chulwoo Kim, Tony Tae-Hyoung Kim, Jaydeep Kulkarni, Volkan Kursun, Yoonmyung Lee, Hai Helen Li, Huawei Li, Prabhat Mishra, Baker Mohammad
, Mehran Mozaffari Kermani, Makoto Nagata, Koji Nii, Partha Pratim Pande, Bipul C. Paul, Vasilis F. Pavlidis, José Pineda de Gyvez, Ioannis Savidis, Patrick Schaumont
, Fabio Sebastiano, Anirban Sengupta, Mingoo Seok, Mircea R. Stan, Mark Mohammad Tehranipoor, Aida Todri-Sanial
, Marian Verhelst, Valerio Vignoli, Xiaoqing Wen, Jiang Xu, Wei Zhang, Zhengya Zhang, Jun Zhou, Mark Zwolinski, Stacey Weber:
Editorial TVLSI Positioning - Continuing and Accelerating an Upward Trajectory. IEEE Trans. Very Large Scale Integr. Syst. 27(2): 253-280 (2019) - [c89]Linyan Mei, Mohit Dandekar, Dimitrios Rodopoulos, Jeremy Constantin, Peter Debacker, Rudy Lauwereins, Marian Verhelst:
Sub-Word Parallel Precision-Scalable MAC Engines for Efficient Embedded DNN Inference. AICAS 2019: 6-10 - [c88]Vincent Camus, Christian Enz, Marian Verhelst:
Survey of Precision-Scalable Multiply-Accumulate Units for Neural-Network Processing. AICAS 2019: 57-61 - [c87]Juan Sebastian P. Giraldo, Chris O'Connor, Marian Verhelst:
Efficient Keyword Spotting through Hardware-Aware Conditional Execution of Deep Neural Networks. AICCSA 2019: 1-8 - [c86]Thomas Bos
, Wim Dehaene, Marian Verhelst:
Ultrasound In-Body Communication with OFDM through Multipath Realistic Channels. BioCAS 2019: 1-4 - [c85]Leandro Mateus Giacomini Rocha
, Nick Van Helleputte, Muqing Liu, Dwaipayan Biswas, Bram-Ernst Verhoef, Sergio Bampi, Chris H. Kim, Chris Van Hoof, Mario Konijnenburg, Marian Verhelst:
Real-time HR Estimation from wrist PPG using Binary LSTMs. BioCAS 2019: 1-4 - [c84]Parvez Ahmmed
, James Dieffenderfer, Jose Manuel Valero-Sarmiento, Venkata Rajesh Pamula, Nick Van Helleputte
, Chris Van Hoof, Marian Verhelst, Alper Bozkurt:
A Wearable Wrist-Band with Compressive Sensing based Ultra-Low Power Photoplethysmography Readout Circuit. BSN 2019: 1-4 - [c83]Nimish Shah
, Laura Isabel Galindez Olascoaga, Wannes Meert
, Marian Verhelst:
ProbLP: A framework for low-precision probabilistic inference. DAC 2019: 190 - [c82]Maxime Feyerick
, Jaro De Roose, Marian Verhelst:
Exploration and Design of Low-Energy Logic Cells for 1 kHz Always-on Systems. DATE 2019: 1697-1702 - [c81]Peishuo Li, Tom R. Molderez, Frederik Ceyssens, Korneel Rabaey
, Marian Verhelst:
A 64-channel, 1.1-pA-accurate On-chip Potentiostat for Parallel Electrochemical Monitoring. ESSCIRC 2019: 317-320 - [c80]Sander Smets, Toon Goedemé, Anurag Mittal, Marian Verhelst:
A 978GOPS/W Flexible Streaming Processor for Real-Time Image Processing Applications in 22nm FDSOI. ISSCC 2019: 44-46 - [c79]Athanasios Ramkaj, Juan Carlos Pena Ramos, Yifan Lyu
, Maarten Strackx, J. M. Marcel Pelgrom, Michiel Steyaert, Marian Verhelst, Filip Tavernier:
A 5GS/s 158.6mW 12b Passive-Sampling 8×-Interleaved Hybrid ADC with 9.4 ENOB and 160.5dB FoMS in 28nm CMOS. ISSCC 2019: 62-64 - [c78]Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst, Guy Van den Broeck:
Towards Hardware-Aware Tractable Learning of Probabilistic Models. NeurIPS 2019: 13726-13736 - [c77]Juan Sebastian P. Giraldo, Steven Lauwereins, Komail M. H. Badami, Hugo Van hamme, Marian Verhelst:
18μW SoC for near-microphone Keyword Spotting and Speaker Verification. VLSI Circuits 2019: 52- - 2018
- [j34]Laura Isabel Galindez Olascoaga
, Komail M. H. Badami, Jonas Vlasselaer, Wannes Meert
, Marian Verhelst
:
Dynamic Sensor-Frontend Tuning for Resource Efficient Embedded Classification. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 858-872 (2018) - [j33]Koen Goetschalckx
, Bert Moons
, Steven Lauwereins, Martin Andraud
, Marian Verhelst
:
Optimized Hierarchical Cascaded Processing. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 884-894 (2018) - [j32]Juan Carlos Pena Ramos
, Komail M. H. Badami, Steven Lauwereins
, Marian Verhelst
:
A Fully Configurable Non-Linear Mixed-Signal Interface for Multi-Sensor Analytics. IEEE J. Solid State Circuits 53(11): 3140-3149 (2018) - [j31]Chunshu Li, Yanxiang Huang, Khaled Khalaf, André Bourdoux, Marian Verhelst, Liesbet Van der Perre
, Sofie Pollin:
Energy-Efficient Digital Front-End Processor for 60 GHz Polar Transmitter. J. Signal Process. Syst. 90(5): 777-789 (2018) - [c76]Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann
, Marian Verhelst:
BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS. CICC 2018: 1-4 - [c75]Gage Hills, Daniel Bankman, Bert Moons, Lita Yang, Jake Hillard, Alex Kahng, Rebecca Park, Marian Verhelst, Boris Murmann, Max M. Shulaker, H.-S. Philip Wong, Subhasish Mitra:
TRIG: hardware accelerator for inference-based applications and experimental demonstration using carbon nanotube FETs. DAC 2018: 74:1-74:10 - [c74]Laura Isabel Galindez Olascoaga, Jonas Vlasselaer, Wannes Meert, Marian Verhelst:
Feature noise tuning for resource efficient Bayesian Network Classifiers. ESANN 2018 - [c73]Juan Sebastian P. Giraldo, Marian Verhelst:
Laika: A 5uW Programmable LSTM Accelerator for Always-on Keyword Spotting in 65nm CMOS. ESSCIRC 2018: 166-169 - [c72]Marian Verhelst:
Exploiting FDSOI Towards Minimum Energy Point Operation in Processors and Machine Learning Accelerators. ESSCIRC 2018: 217 - [c71]Jaro De Roose, Haoming Xin, Martin Andraud
, Pieter J. A. Harpe, Marian Verhelst:
Flexible and Self-Adaptive Sense-and-Compress for Sub-MicroWatt Always-on Sensory Recording. ESSCIRC 2018: 282-285 - [c70]Marian Verhelst:
Exploiting FDSOI towards minimum energy point operation in processors and machine learning accelerators. ESSDERC 2018: 157 - [c69]Martin Andraud
, Ahmed Hallawa, Jaro De Roose, Eugenio Cantatore, Gerd Ascheid, Marian Verhelst:
Evolving hardware instinctive behaviors in resource-scarce agent swarms exploring hard-to-reach environments. GECCO (Companion) 2018: 1497-1504 - [c68]Martin Andraud
, Marian Verhelst:
From on-chip self-healing to self-adaptivity in analog/RF ICs: challenges and opportunities. IOLTS 2018: 131-134 - [c67]Lita Yang, Daniel Bankman, Bert Moons, Marian Verhelst, Boris Murmann:
Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor. ISCAS 2018: 1-5 - [c66]Daniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann
:
An always-on 3.8μJ/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28nm CMOS. ISSCC 2018: 222-224 - [c65]Komail M. H. Badami, Juan Carlos Pena Ramos, Steven Lauwereins, Marian Verhelst:
Mixed-signal programmable non-linear interface for resource-efficient multi-sensor analytics. ISSCC 2018: 344-346 - [c64]Martin Andraud
, Laura Isabel Galindez Olascoaga, Yichuan Lu, Yiorgos Makris, Marian Verhelst:
On the use of Bayesian Networks for Resource-Efficient Self-Calibration of Analog/RF ICs. ITC 2018: 1-10 - [c63]Koen Goetschalckx, Bert Moons, Patrick Wambacq
, Marian Verhelst:
Efficiently Combining SVD, Pruning, Clustering and Retraining for Enhanced Neural Network Compression. EMDL@MobiSys 2018: 1-6 - [c62]Jonas Vlasselaer, Wannes Meert
, Marian Verhelst:
Towards Resource-Efficient Classifiers for Always-On Monitoring. ECML/PKDD (3) 2018: 305-321 - [c61]Komail M. H. Badami, Kushal Dakshina Murthy, Pieter Harpe, Marian Verhelst:
A 0.6V 54DB SNR Analog Frontend with 0.18% THD for Low Power Sensory Applications in 65NM CMOS. VLSI Circuits 2018: 241-242 - [i7]Matthijs Van Keirsbilck, Bert Moons, Marian Verhelst:
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion. CoRR abs/1803.04840 (2018) - [i6]Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann, Marian Verhelst:
BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS. CoRR abs/1804.05554 (2018) - [i5]Gert Dekkers, Fernando Rosas, Steven Lauwereins, Sreeraj Rajendran, Sofie Pollin, Bart Vanrumste, Toon van Waterschoot, Marian Verhelst, Peter Karsmakers:
A multi-layered energy consumption model for smart wireless acoustic sensor networks. CoRR abs/1812.06672 (2018) - 2017
- [j30]Yuri Murillo, Bertold Van den Bergh, Jona Beysens, Alexander Bertrand
, Wim Dehaene, Panagiotis Patrinos, Tinne Tuytelaars
, Ruth Vazquez Sabariego
, Marian Verhelst
, Patrick Wambacq
, Sofie Pollin:
Multidisciplinary Learning through Implementation of the DVB-S2 Standard. IEEE Commun. Mag. 55(5): 124-130 (2017) - [j29]Bert Moons
, Marian Verhelst
:
An Energy-Efficient Precision-Scalable ConvNet Processor in 40-nm CMOS. IEEE J. Solid State Circuits 52(4): 903-914 (2017) - [j28]Venkata Rajesh Pamula, Jose Manuel Valero-Sarmiento, Long Yan, Alper Bozkurt, Chris Van Hoof, Nick Van Helleputte, Refet Firat Yazicioglu, Marian Verhelst
:
A 172 µW Compressively Sampled Photoplethysmographic (PPG) Readout ASIC With Heart Rate Estimation Directly From Compressively Sampled Data. IEEE Trans. Biomed. Circuits Syst. 11(3): 487-496 (2017) - [j27]Juan Carlos Pena Ramos, Marian Verhelst
:
Split-Delta Background Calibration for SAR ADCs. IEEE Trans. Circuits Syst. II Express Briefs 64-II(2): 221-225 (2017) - [j26]Fernando de la Hucha Arce
, Marc Moonen, Marian Verhelst
, Alexander Bertrand
:
Adaptive Quantization for Multichannel Wiener Filter-Based Speech Enhancement in Wireless Acoustic Sensor Networks. Wirel. Commun. Mob. Comput. 2017 (2017) - [c60]Leonardo Cecconi, Sander Smets, Luca Benini
, Marian Verhelst:
Optimal Tiling Strategy for Memory Bandwidth Reduction for CNNs. ACIVS 2017: 89-100 - [c59]Fernando Rosas, Konstantinos Manolakis, Christian Oberli, Mohammad Mahdi Azari, Marian Verhelst, Sofie Pollin:
Impact of interference correlation on the decoding error statistics. ACSSC 2017: 1115-1119 - [c58]Bert Moons, Koen Goetschalckx, Nick Van Berckelaer, Marian Verhelst:
Minimum energy quantized neural networks. ACSSC 2017: 1921-1925 - [c57]Martin Andraud
, Gönenç Berkol, Jaro De Roose, Santosh Gannavarapu, Haoming Xin, Eugenio Cantatore, Pieter J. A. Harpe, Marian Verhelst, Peter G. M. Baltus:
Exploring the unknown through successive generations of low power and low resource versatile agents. DATE 2017: 290-293 - [c56]Bert Moons, Roel Uytterhoeven, Wim Dehaene, Marian Verhelst:
DVAFS: Trading computational accuracy for energy through dynamic-voltage-accuracy-frequency-scaling. DATE 2017: 488-493 - [c55]Ahmed Hallawa, Jaro De Roose, Martin Andraud
, Marian Verhelst, Gerd Ascheid:
Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents. GECCO (Companion) 2017: 1727-1734 - [c54]Tom R. Molderez, Bas de Wit, Korneel Rabaey
, Marian Verhelst:
Successive parabolic interpolation as extremum seeking control for microbial fuel & electrolysis cells. IECON 2017: 3128-3133 - [c53]Bert Moons, Roel Uytterhoeven, Wim Dehaene, Marian Verhelst:
14.5 Envision: A 0.26-to-10TOPS/W subword-parallel dynamic-voltage-accuracy-frequency-scalable Convolutional Neural Network processor in 28nm FDSOI. ISSCC 2017: 246-247 - [c52]Meng-Fan Chang, Jun Deguchi, Vivek De, Masato Motomura, Shinichiro Shiratake, Marian Verhelst:
F3: Beyond the horizon of conventional computing: From deep learning to neuromorphic systems. ISSCC 2017: 506-508 - [c51]Thomas Bos
, Komail M. H. Badami, Wim Dehaene, Marian Verhelst
:
An 8-11b 320kS/s resolution scalable noise shaping SAR ADC. NEWCAS 2017: 209-212 - [i4]Bert Moons, Koen Goetschalckx, Nick Van Berckelaer, Marian Verhelst:
Minimum Energy Quantized Neural Networks. CoRR abs/1711.00215 (2017) - 2016
- [j25]Fernando Rosas, Vasilis Ntranos, Christopher J. Ellison, Sofie Pollin, Marian Verhelst
:
Understanding Interdependency Through Complex Information Sharing. Entropy 18(2): 38 (2016) - [j24]Komail M. H. Badami, Steven Lauwereins, Wannes Meert
, Marian Verhelst
:
A 90 nm CMOS, 6µW Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection. IEEE J. Solid State Circuits 51(1): 291-302 (2016) - [j23]Fernando de la Hucha Arce
, Fernando Rosas, Marc Moonen, Marian Verhelst
, Alexander Bertrand
:
Generalized Signal Utility for LMMSE Signal Estimation With Application to Greedy Quantization in Wireless Sensor Networks. IEEE Signal Process. Lett. 23(9): 1202-1206 (2016) - [j22]Antti Anttonen, Adrian Kotelba
, Marian Verhelst
, Aarne Mämmelä:
Finite-Horizon Prediction of Energy Depletions in Off-Grid Wireless Networks. IEEE Trans. Veh. Technol. 65(8): 6731-6736 (2016) - [j21]Fernando Rosas, Richard Demo Souza
, Marcelo Eduardo Pellenz, Christian Oberli, Glauber Gomes de Oliveira Brante
, Marian Verhelst
, Sofie Pollin:
Optimizing the Code Rate of Energy-Constrained Wireless Communications With HARQ. IEEE Trans. Wirel. Commun. 15(1): 191-205 (2016) - [c50]Laura Isabel Galindez Olascoaga
, Komail M. H. Badami, V. Rajesh Pamula, Steven Lauwereins, Wannes Meert
, Marian Verhelst:
Exploiting system configurability towards dynamic accuracy-power trade-offs in sensor front-ends. ACSSC 2016: 1027-1031 - [c49]V. Rajesh Pamula, Marian Verhelst, Chris Van Hoof, Refet Firat Yazicioglu:
A 17nA, 47.2dB dynamic range, adaptive sampling controller for online data rate reduction in low power ECG systems. BioCAS 2016: 272-275 - [c48]Tom Vermeulen, Fernando Rosas, Marian Verhelst
, Sofie Pollin:
Performance analysis of in-band full duplex collision and interference detection in dense networks. CCNC 2016: 595-601 - [c47]Daniele Bortolotti
, Andrea Bartolini
, Luca Benini
, V. Rajesh Pamula, Nick Van Helleputte, Chris Van Hoof, Marian Verhelst, Tobias Gemmeke, Rubén Braojos Lopez, Giovanni Ansaloni, David Atienza, Pierre Vandergheynst:
PHIDIAS: ultra-low-power holistic design for smart bio-signals computing platforms. Conf. Computing Frontiers 2016: 309-314 - [c46]Sander Smets, Toon Goedemé
, Marian Verhelst:
Custom processor design for efficient, yet flexible Lucas-Kanade optical flow. DASIP 2016: 138-145 - [c45]Laura Isabel Galindez Olascoaga, Wannes Meert, Herman Bruyninckx, Marian Verhelst:
Extending Naive Bayes with Precision-tunable Feature Variables for Resource-efficient Sensor Fusion. AI-IoT@ECAI 2016: 23-30 - [c44]Komail M. H. Badami, V. Rajesh Pamula, Marian Verhelst:
A switched-capacitor degenerated, scalable gm-C filter-bank for acoustic front-ends. ISCAS 2016: 818-821 - [c43]Paul Liang, Marian Verhelst:
Session 14 overview: Next-generation processing. ISSCC 2016: 252-253 - [c42]Pamula Venkata Rajesh, Jose Manuel Valero-Sarmiento, Long Yan, Alper Bozkurt, Chris Van Hoof, Nick Van Helleputte
, Refet Firat Yazicioglu, Marian Verhelst
:
22.4 A 172µW compressive sampling photoplethysmographic readout with embedded direct heart-rate and variability extraction from compressively sampled data. ISSCC 2016: 386-387 - [c41]Vivek De, Kerry Bernstein, Takefumi Yoshikawa, Yusuf Leblebici, Marian Verhelst, Mahesh Mehendale, Makoto Nagata:
F1: Designing secure systems: Manufacturing, circuits and architectures. ISSCC 2016: 492-494 - [c40]Bert Moons, Marian Verhelst
:
A 0.3-2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets. VLSI Circuits 2016: 1-2 - [c39]Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst
:
Energy-efficient ConvNets through approximate computing. WACV 2016: 1-8 - [i3]Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst:
Energy-Efficient ConvNets Through Approximate Computing. CoRR abs/1603.06777 (2016) - [i2]Bert Moons, Marian Verhelst:
A 0.3-2.6 TOPS/W Precision-Scalable Processor for Real-Time Large-Scale ConvNets. CoRR abs/1606.05094 (2016) - 2015
- [j20]Steven Lauwereins, Komail M. H. Badami, Wannes Meert
, Marian Verhelst
:
Optimal resource usage in ultra-low-power sensor interfaces through context- and resource-cost-aware machine learning. Neurocomputing 169: 236-245 (2015) - [j19]Angelo Nagari, Kenichi Okada, Marian Verhelst
:
Introduction to the Special Issue on the 40th European Solid-State Circuits Conference (ESSCIRC). IEEE J. Solid State Circuits 50(7): 1512-1515 (2015) - [j18]Paramartha Indirayanti, Tuba Ayhan, Marian Verhelst
, Wim Dehaene, Patrick Reynaert
:
A mm-Precise 60 GHz Transmitter in 40 nm CMOS for Discrete-Carrier Indoor Localization. IEEE J. Solid State Circuits 50(7): 1604-1617 (2015) - [j17]Chunshu Li, Min Li, Marian Verhelst
, André Bourdoux, Liesbet Van der Perre
, Sofie Pollin:
On the General Mathematical Framework, Calibration/Compensation Method, and Applications of Non-Ideal Software Defined Harmonics Rejection Transceivers. IEEE Trans. Circuits Syst. I Regul. Pap. 62-I(1): 292-301 (2015) - [j16]Chunshu Li, Min Li, Marian Verhelst
, André Bourdoux, Mark Ingels, Liesbet Van der Perre
, Sofie Pollin:
Efficient Timing Mismatch Correction for Low-Cost Digital-Mixing Transmitter. IEEE Trans. Signal Process. 63(24): 6553-6564 (2015) - [j15]Afsaneh Nassery, Srinath Byregowda, Sule Ozev, Marian Verhelst
, Mustapha Slamani:
Built-In Self-Test of Transmitter I/Q Mismatch and Nonlinearity Using Self-Mixing Envelope Detector. IEEE Trans. Very Large Scale Integr. Syst. 23(2): 331-341 (2015) - [j14]Chunshu Li, Min Li, Khaled Khalaf, André Bourdoux, Marian Verhelst
, Mark Ingels, Piet Wambacq, Jan Craninckx
, Liesbet Van der Perre
, Sofie Pollin:
Opportunities and Challenges of Digital Signal Processing in Deeply Technology-Scaled Transceivers. J. Signal Process. Syst. 78(1): 5-19 (2015) - [c38]Fernando Rosas, Mohammad Mahdi Azari, Bertold Van den Bergh, Richard Demo Souza
, Sofie Pollin, Marian Verhelst:
Using mobility for increasing the energy efficiency of multihop communications. ACSSC 2015: 469-474 - [c37]Tom Vermeulen, Fernando Rosas, Barend van Liempd, Marian Verhelst, Sofie Pollin:
An energy-scalable in-band full duplex architecture. CAMAD 2015: 22-26 - [c36]Fernando de la Hucha Arce
, Fernando Rosas, Marc Moonen, Marian Verhelst, Alexander Bertrand
:
Energy-vs-performance trade-offs in speech enhancement in wireless acoustic sensor networks. EUSIPCO 2015: 1561-1565 - [c35]Chunshu Li, André Bourdoux, Marian Verhelst
, Yanxiang Huang, Min Li, Liesbet Van der Perre
, Sofie Pollin:
<30 mW rectangular-to-polar conversion processor in 802.11ad polar transmitter. ICASSP 2015: 1022-1026 - [c34]Juan Carlos Pena Ramos, Marian Verhelst:
Redundancy effect on the performance of digitally-assisted SAR ADCs. ICECS 2015: 276-279 - [c33]Bert Moons, Marian Verhelst
:
DVAS: Dynamic Voltage Accuracy Scaling for increased energy-efficiency in approximate computing. ISLPED 2015: 237-242 - [c32]Komail M. H. Badami, Steven Lauwereins, Wannes Meert
, Marian Verhelst:
24.2 Context-aware hierarchical information-sensing in a 6μW 90nm CMOS voice activity detector. ISSCC 2015: 1-3 - [c31]Marian Verhelst, Dennis Sylvester, Makoto Takamiya, Mike Clinton, Kathy Wilcox, Koichi Nose:
F4: Building the Internet of Everything (IoE): Low-power techniques at the circuit and system levels. ISSCC 2015: 1-2 - [c30]Fernando Rosas, Richard Demo Souza
, Marian Verhelst
, Sofie Pollin:
Energy-efficient MIMO multihop communications using the antenna selection scheme. ISWCS 2015: 686-690 - [i1]Fernando Rosas, Vasilis Ntranos, Christopher J. Ellison, Sofie Pollin, Marian Verhelst:
Understanding interdependency through complex information sharing. CoRR abs/1509.04555 (2015) - 2014
- [j13]Bertold Van den Bergh, Tom Vermeulen, Marian Verhelst
, Sofie Pollin:
CLAWS: Cross-Layer Adaptable Wireless System enabling full cross-layer experimentation on real-time software-defined 802.15.4. EURASIP J. Wirel. Commun. Netw. 2014: 187 (2014) - [j12]Bert Moons, Marian Verhelst
:
Energy-Efficiency and Accuracy of Stochastic Computing Circuits in Emerging Technologies. IEEE J. Emerg. Sel. Topics Circuits Syst. 4(4): 475-486 (2014) - [c29]V. Rajesh Pamula, Marian Verhelst
, Chris Van Hoof, Refet Firat Yazicioglu:
Computationally-efficient compressive sampling for low-power pulseoximeter system. BioCAS 2014: 69-72 - [c28]Steven Lauwereins, Komail M. H. Badami, Wannes Meert, Marian Verhelst:
Context- and cost-aware feature selection in ultra-low-power sensor interfaces. ESANN 2014 - [c27]Paramartha Indirayanti, Tuba Ayhan, Marian Verhelst
, Wim Dehaene, Patrick Reynaert:
A 60GHz transmitter in 40nm CMOS achieving mm-precision for discrete-carrier localization. ESSCIRC 2014: 291-294 - [c26]Tuba Ayhan, Wim Dehaene, Marian Verhelst:
A 128∶2048/1536 point FFT hardware implementation with output pruning. EUSIPCO 2014: 266-270 - [c25]Iman Khajenasiri, Edoardo Patti
, Marco Jahn, Andrea Acquaviva, Marian Verhelst
, Enrico Macii, Georges G. E. Gielen:
Design and implementation of a multi-standard event-driven energy management system for smart buildings. GCCE 2014: 20-21 - [c24]Chunshu Li, Min Li, Mark Ingels, Marian Verhelst
, Xiaoqiang Zhang, Joris Van Driessche, André Bourdoux, Liesbet Van der Perre
, Sofie Pollin:
Efficient duty-cycle mismatch compensation in digital transmitter. ICASSP 2014: 4998-5002 - [c23]Tom Redant, Tuba Ayhan, Nico De Clercq, Marian Verhelst, Patrick Reynaert, Wim Dehaene:
20.1 A 40nm CMOS receiver for 60GHz discrete-carrier indoor localization achieving mm-precision at 4m range. ISSCC 2014: 342-343 - [c22]Steven Lauwereins, Wannes Meert
, Jort F. Gemmeke, Marian Verhelst
:
Ultra-low-power voice-activity-detector through context- and resource-cost-aware feature selection in decision trees. MLSP 2014: 1-6 - [c21]Bert Moons, Marian Verhelst
:
Energy and accuracy in multi-stage stochastic computing. NEWCAS 2014: 197-200 - [c20]Tuba Ayhan, Marian Verhelst
, Wim Dehaene:
Impact of multipath fading on a precise 60 GHz indoor locationing system. SIU 2014: 1841-1844 - 2013
- [j11]Hasnain Lakdawala, Mark Schaecher, Chang-Tsung Fu, Rahul Dilip Limaye, Jon Duster, Yulin Tan, Ajay Balankutty, Erkan Alpman, Chun C. Lee, Khoa Minh Nguyen, Hyung-Jin Lee, Ashoke Ravi, Satoshi Suzuki, Brent R. Carlton, Hyung Seok Kim, Marian Verhelst
, Stefano Pellerano, Tong Kim, Satish Venkatesan, Durgesh Srivastava, Peter Vandervoorn, Jad Rizk, Chia-Hong Jan, Sunder Ramamurthy, Raj Yavatkar, Krishnamurthy Soumyanath:
A 32 nm SoC With Dual Core ATOM Processor and RF WiFi Transceiver. IEEE J. Solid State Circuits 48(1): 91-103 (2013) - [j10]Jorge Carballido, Jorge Hermosillo, Arturo Veloz-Guerrero, David Arditti, Alberto Del Rio, Edgar Borrayo Sandoval, Manuel E. Guzman-Renteria, Hasnain Lakdawala, Marian Verhelst
:
A Programmable Calibration/BIST Engine for RF and Analog Blocks in SoCs Integrated in a 32 nm CMOS WiFi Transceiver. IEEE J. Solid State Circuits 48(7): 1669-1679 (2013) - [c19]Chunshu Li, Min Li, Marian Verhelst
, Sofie Pollin, André Bourdoux,