Subhadip Mukherjee
Titolo
Citata da
Citata da
Anno
An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography
S Mukherjee, CS Seelamantula
2012 IEEE International Conference on Acoustics, Speech and Signalá…, 2012
632012
Fienup algorithm with sparsity constraints: Application to frequency-domain optical-coherence tomography
S Mukherjee, CS Seelamantula
Signal Processing, IEEE Transactions on 62 (18), 4659-4672, 2014
462014
ℓ1-K-SVD: A robust dictionary learning algorithm with simultaneous update
S Mukherjee, R Basu, CS Seelamantula
Signal Processing 123, 42-52, 2016
322016
An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising
J Sadasivan, S Mukherjee, CS Seelamantula
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE Internationalá…, 2014
212014
Learned convex regularizers for inverse problems
S Mukherjee, S Dittmer, Z Shumaylov, S Lunz, O Íktem, CB Sch÷nlieb
arxiv preprint (arXiv:2008.02839v1), 2020
182020
Joint dictionary training for bandwidth extension of speech signals
J Sadasivan, S Mukherjee, CS Seelamantula
2016 IEEE International Conference on Acoustics, Speech and Signalá…, 2016
152016
Deep sparse coding using optimized linear expansion of thresholds
D Mahapatra, S Mukherjee, CS Seelamantula
arXiv preprint arXiv:1705.07290, 2017
102017
Phase retrieval from binary measurements
S Mukherjee, CS Seelamantula
IEEE Signal Processing Letters 25 (3), 348-352, 2018
82018
A Non-Iterative Phase Retrieval Algorithm for Minimum-Phase Signals Using the Annihilating Filter.
S Mukherjee, CS Seelamantula
Sampling Theory in Signal & Image Processing 11, 2012
82012
Adversarially learned iterative reconstruction for imaging inverse problems
S Mukherjee, O Íktem, CB Sch÷nlieb
arXiv preprint arXiv:2103.16151, 2021
42021
End-to-end reconstruction meets data-driven regularization for inverse problems
S Mukherjee, M Carioni, O Íktem, CB Sch÷nlieb
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
32021
Signal denoising using the minimum-probability-of-error criterion
J Sadasivan, S Mukherjee, CS Seelamantula
APSIPA Transactions on Signal and Information Processing 9, 2020
32020
Convergence rate analysis of smoothed LASSO
S Mukherjee, CS Seelamantula
2016 Twenty Second National Conference on Communication (NCC), 1-6, 2016
32016
Quantization-aware phase retrieval
S Mukherjee, CS Seelamantula
International Journal of Wavelets, Multiresolution and Informationá…, 2020
22020
Speech Enhancement Using the Minimum-probability-of-error Criterion.
J Sadasivan, S Mukherjee, CS Seelamantula
INTERSPEECH, 1141-1145, 2018
22018
Phasesplit: A variable splitting framework for phase retrieval
S Mukherjee, S Shit, CS Seelamantula
2018 IEEE International Conference on Acoustics, Speech and Signalá…, 2018
22018
A divide-and-conquer dictionary learning algorithm and its performance analysis
S Mukherjee, CS Seelamantula
2016 IEEE International Conference on Acoustics, Speech and Signalá…, 2016
22016
PhaseSense—Signal Reconstruction from Phase-Only Measurements via Quadratic Programming
V Kishore, S Mukherjee, CS Seelamantula
2020 International Conference on Signal Processing and Communications (SPCOMá…, 2020
12020
Stochastic Primal-Dual Deep Unrolling Networks for Imaging Inverse Problems
J Tang, S Mukherjee, CB Sch÷nlieb
https://arxiv.org/abs/2110.10093, 2021
2021
Learning convex regularizers satisfying the variational source condition for inverse problems
S Mukherjee, CB Sch÷nlieb, M Burger
NeurIPS-2021 Workshop on Deep Learning and Inverse Problems, 2021
2021
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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