Saikat Chatterjee

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Mikael SkoglundKTH Royal Institute of TechnologyPatvirtintas el. paštas kth.se
Dennis SundmanResearcher, Ericsson ResearchPatvirtintas el. paštas kth.se
Magnus JanssonKTH Royal Institute of Technology, School of Electrical engineering and computer science, DivisionPatvirtintas el. paštas kth.se
Alireza JavidPh.D.from KTH Royal Institute of TechnologyPatvirtintas el. paštas kth.se
Thippur SreenivasECE Dept, Indian Institute of Science, Bangalore-12, IndiaPatvirtintas el. paštas alum.iisc.ac.in
Arun VenkitaramanSenior Research Scientist, Sony AIPatvirtintas el. paštas sony.com
Martin SundinPhD in Signal Processing from KTH Royal Institute of TechnologyPatvirtintas el. paštas kth.se
Mikko VehkaperäNokia Mobile NetworksPatvirtintas el. paštas nokia.com
Dave ZachariahAssociate Professor, Uppsala UniversityPatvirtintas el. paštas it.uu.se
Lars K. RasmussenProfessor, KTH Royal Institute of TechnologyPatvirtintas el. paštas ieee.org
KVS HARIDepartment of ECE, Indian Institute of Science, Bangalore, INDIAPatvirtintas el. paštas iisc.ac.in
Peter HändelProfessor of Signal Processing, Royal Institute of Technology KTH, SwedenPatvirtintas el. paštas kth.se
Antoine HonoréKTH, Royal Institute of TechnologyPatvirtintas el. paštas kth.se
Xinyue LiangPhD student of KTH Royal Institute of TechnologyPatvirtintas el. paštas kth.se
Sooraj K. AmbatDefence Research and Development Organization (DRDO)Patvirtintas el. paštas gov.in
Sandipan DasQualcommPatvirtintas el. paštas qti.qualcomm.com
Amirpasha ShiraziniaKindred GroupPatvirtintas el. paštas kindredgroup.com
Dong LiuAmazonPatvirtintas el. paštas kth.se
Anubhab GhoshPh.D. student, KTH Royal Institute of Technology, Stockholm, SwedenPatvirtintas el. paštas kth.se
Yoshiyuki KabashimaInstitute for Physics of Intelligence & Department of Physics, The University of TokyoPatvirtintas el. paštas phys.s.u-tokyo.ac.jp

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Saikat Chatterjee

KTH - Royal Institute of Technology

Patvirtintas el. paštas kth.se - Pagrindinis puslapis

Machine Learning Data Analytics Signal Processing Speech and Audio Processing


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Alternating Least-Squares for Low-Rank Matrix Reconstruction D Zachariah, M Sundin, M Jansson, S Chatterjee Signal Processing Letters, IEEE 19 (4), 231-234, 2012	86	2012
Projection-Based and Look-Ahead Strategies for Atom Selection S Chatterjee, D Sundman, M Vehkapera, M Skoglund Signal Processing, IEEE Transactions on 60 (2), 634-647, 2012	77	2012
Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing M Vehkaperä, Y Kabashima, S Chatterjee IEEE Transactions on Information Theory, 2016	76	2016
Analysis of regularized LS reconstruction and random matrix ensembles in compressed sensing M Vehkapera, Y Kabashima, S Chatterjee Information Theory (ISIT), 2014 IEEE International Symposium on, 3185-3189, 2014	76	2014
Distributed greedy pursuit algorithms D Sundman, S Chatterjee, M Skoglund Signal Processing 105, 298-315, 2014	64	2014
Look ahead orthogonal matching pursuit S Chatterjee, D Sundman, M Skoglund 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011	63	2011
GMM based Bayesian approach to speech enhancement in signal/transform domain A Kundu, S Chatterjee, AS Murthy, TV Sreenivas 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008	62	2008
On MMSE estimation: A linear model under Gaussian mixture statistics JT Flam, S Chatterjee, K Kansanen, T Ekman IEEE Transactions on Signal Processing 60 (7), 3840-3845, 2012	61	2012
Predicting graph signals using kernel regression where the input signal is agnostic to a graph A Venkitaraman, S Chatterjee, P Händel IEEE Transactions on Signal and Information Processing over Networks 5 (4 …, 2019	54*	2019
Greedy pursuits for compressed sensing of jointly sparse signals D Sundman, S Chatterjee, M Skoglund Proceedings of the European signal processing conference, 2011	54	2011
A ReLU dense layer to improve the performance of neural networks AM Javid, S Das, M Skoglund, S Chatterjee ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021	52	2021
A greedy pursuit algorithm for distributed compressed sensing D Sundman, S Chatterjee, M Skoglund 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012	49	2012
Fusion of algorithms for compressed sensing SK Ambat, S Chatterjee, KVS Hari IEEE Transactions on Signal Processing 61 (14), 3699-3704, 2013	46	2013
Gaussian processes over graphs A Venkitaraman, S Chatterjee, P Handel ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020	45	2020
Sparse signal recovery using iterative proximal projection F Ghayem, M Sadeghi, M Babaie-Zadeh, S Chatterjee, M Skoglund, ... IEEE Transactions on Signal Processing 66 (4), 879-894, 2017	43	2017
Design and analysis of a greedy pursuit for distributed compressed sensing D Sundman, S Chatterjee, M Skoglund IEEE Transactions on Signal Processing 64 (11), 2803-2818, 2016	38	2016
Analysis-by-synthesis quantization for compressed sensing measurements A Shirazinia, S Chatterjee, M Skoglund IEEE transactions on signal processing 61 (22), 5789-5800, 2013	34	2013
Progressive learning for systematic design of large neural networks S Chatterjee, AM Javid, M Sadeghi, PP Mitra, M Skoglund arXiv preprint arXiv:1710.08177, 2017	33	2017
Online spatiotemporal popularity learning via variational bayes for cooperative caching S Mehrizi, S Chatterjee, S Chatzinotas, B Ottersten IEEE Transactions on Communications 68 (11), 7068-7082, 2020	30	2020
Joint source-channel vector quantization for compressed sensing A Shirazinia, S Chatterjee, M Skoglund IEEE transactions on signal processing 62 (14), 3667-3681, 2014	30	2014

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