@article{mukherjee2022quantization,author={Mukherjee, S. and Seelamantula, C. S.},journal={International Journal of Wavelets, Multiresolution and Information Processing},title={Quantization-aware phase retrieval},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:KUbvn5osdkgC},year={2022}}
@inproceedings{kishore2020phasesense,author={Kishore, V. and Mukherjee, S. and Seelamantula, C. S.},booktitle={International Conference on Signal Processing and Communications (SPCOM)},title={PhaseSense—Signal Reconstruction from Phase-Only Measurements via Quadratic Programming},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:kh2fBNsKQNwC},year={2020}}
@article{sadasivan2020signal,author={Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},journal={APSIPA Transactions on Signal and Information Processing},pages={e3},title={Signal denoising using the minimum-probability-of-error criterion},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Fu2w8maKXqMC},volume={9},year={2020}}
@article{mukherjee2018phase,author={Mukherjee, S. and Seelamantula, C. S.},journal={IEEE Signal Processing Letters},number={3},pages={348--352},title={Phase retrieval from binary measurements},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:z_wVstp3MssC},volume={25},year={2018}}
@inproceedings{mukherjee2018phasesplit,author={Mukherjee, S. and Shit, S. and Seelamantula, C. S.},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},title={Phasesplit: A variable splitting framework for phase retrieval},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:g3aElNc5_aQC},year={2018}}
@inproceedings{sadasivan2018speech,author={Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},booktitle={INTERSPEECH},pages={1141--1145},title={Speech Enhancement Using the Minimum-probability-of-error Criterion},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:EYYDruWGBe4C},year={2018}}
SPCOM 18
Binary compressive sensing and super-resolution with unknown threshold
@inproceedings{mukherjee2018binary,author={Mukherjee, S. and Sekuboyina, A. K. and Seelamantula, C. S.},booktitle={International Conference on Signal Processing and Communications (SPCOM)},title={Binary compressive sensing and super-resolution with unknown threshold},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:-FonjvnnhkoC},year={2018}}
SPCOM 18
A singular value relaxation technique for learning sparsifying transforms
@inproceedings{mukherjee2018singular,author={Mukherjee, S. and Seelamantula, C. S.},booktitle={International Conference on Signal Processing and Communications (SPCOM)},title={A singular value relaxation technique for learning sparsifying transforms},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:e_rmSamDkqQC},year={2018}}
@article{mahapatra2017deep,author={Mahapatra, D. and Mukherjee, S. and Seelamantula, C. S.},journal={arXiv preprint arXiv:1705.07290},title={Deep sparse coding using optimized linear expansion of thresholds},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ZfRJV9d4-WMC},year={2017}}
@article{mulleti2017super,author={Mulleti, S. and Singh, A. and Brahmkhatri, V. P. and Chandra, K. and Raza, T. and Mukherjee, S. P. and others},journal={Scientific reports},number={1},pages={9651},title={Super-resolved nuclear magnetic resonance spectroscopy},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:9Nmd_mFXekcC},volume={7},year={2017}}
@inproceedings{mukherjee2017dnns,author={Mukherjee, S. and Mahapatra, D. and Seelamantula, C. S.},booktitle={NIPS Bayesian Deep Learning Workshop},title={DNNs for sparse coding and dictionary learning},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:uc_IGeMz5qoC},year={2017}}
@article{mukherjee2017online,author={Mukherjee, S. and Chen, H. and Veeraraghavan, A. and Seelamantula, C. S.},journal={arXiv preprint arXiv:1706.09585},title={Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:j8SEvjWlNXcC},year={2017}}
@article{mukherjee2016l1,author={Mukherjee, S. and Basu, R. and Seelamantula, C. S.},journal={Signal Processing},pages={42--52},title={ℓ₁-K-SVD: A robust dictionary learning algorithm with simultaneous update},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:D_sINldO8mEC},volume={123},year={2016}}
ICASSP 16
Joint dictionary training for bandwidth extension of speech signals
@inproceedings{sadasivan2016joint,author={Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},title={Joint dictionary training for bandwidth extension of speech signals},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:bnK-pcrLprsC},year={2016}}
@inproceedings{mukherjee2016convergence,author={Mukherjee, S. and Seelamantula, C. S.},booktitle={Twenty second national conference on communication (NCC)},pages={1--6},title={Convergence rate analysis of smoothed LASSO},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:WqliGbK-hY8C},year={2016}}
ICASSP 16
A divide-and-conquer dictionary learning algorithm and its performance analysis
@inproceedings{mukherjee2016divide,author={Mukherjee, S. and Seelamantula, C. S.},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},title={A divide-and-conquer dictionary learning algorithm and its performance analysis},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:XiVPGOgt02cC},year={2016}}
arXiv 16
Super-Resolution From Binary Measurements With Unknown Threshold
@article{mukherjee2016super,author={Mukherjee, S. and Sekuboyina, A. K. and Seelamantula, C. S.},journal={arXiv preprint arXiv:1606.03472},title={Super-Resolution From Binary Measurements With Unknown Threshold},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:t6usbXjVLHcC},year={2016}}
2014
IEEE TSP 14
Fienup algorithm with sparsity constraints: Application to frequency-domain optical-coherence tomography
@article{mukherjee2014fienup,author={Mukherjee, S. and Seelamantula, C. S.},journal={IEEE Transactions on Signal Processing},number={18},pages={4659--4672},title={Fienup algorithm with sparsity constraints: Application to frequency-domain optical-coherence tomography},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:g5m5HwL7SMYC},volume={62},year={2014}}
ICASSP 14
An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising
@inproceedings{sadasivan2014optimum,author={Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},title={An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:pqnbT2bcN3wC},year={2014}}
arXiv 14
A split-and-merge dictionary learning algorithm for sparse representation
@article{mukherjee2014split,author={Mukherjee, S. and Seelamantula, C. S.},journal={arXiv preprint arXiv:1403.4781},title={A split-and-merge dictionary learning algorithm for sparse representation},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:J_g5lzvAfSwC},year={2014}}
CoRR 14
A Robust Dictionary Learning Algorithm for Image Denoising
@article{mukherjee2014robust,author={Mukherjee, S. and Basu, R. and Seelamantula, C. S.},journal={CoRR},title={A Robust Dictionary Learning Algorithm for Image Denoising},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:dfsIfKJdRG4C},volume={abs/1403.4781},year={2014}}
DSP 14
A split-and-merge dictionary learning algorithm for sparse representation: Application to image denoising
@inproceedings{mukherjee2014split_merge,author={Mukherjee, S. and Seelamantula, C. S.},booktitle={19th International Conference on Digital Signal Processing (DSP)},pages={310--315},title={A split-and-merge dictionary learning algorithm for sparse representation: Application to image denoising},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:u_35RYKgDlwC},year={2014}}
2012
ICASSP 12
An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography
@inproceedings{mukherjee2012iterative,author={Mukherjee, S. and Seelamantula, C. S.},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},title={An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4TOpqqG69KYC},year={2012}}
STSIP 12
A non-iterative phase retrieval algorithm for minimum-phase signals using the annihilating filter
@article{mukherjee2012non,author={Mukherjee, S. and Seelamantula, C. S.},journal={Sampling Theory in Signal and Image Processing},pages={165--193},title={A non-iterative phase retrieval algorithm for minimum-phase signals using the annihilating filter},url={https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:70eg2SAEIzsC},volume={11},year={2012}}