Följ
Jyothi Rikhab Chand
Jyothi Rikhab Chand
Andra namnR Jyothi
Department of Electrical and Computer Engineering, University of Iowa
Verifierad e-postadress på uiowa.edu
Titel
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Automatic classification of toco-signals: An approach towards comprehensive monitoring of labour progress
R Jyothi, RS Soans, PV Bhat
2016 international conference on signal processing and communications (SPCOM …, 2016
112016
Designing sequence set with minimal peak side-lobe level for applications in high resolution radar imaging
SP Sankuru, R Jyothi, P Babu, M Alaee-Kerahroodi
IEEE Open Journal of Signal Processing 2, 17-32, 2020
102020
Rapid bird activity detection using probabilistic sequence kernels
A Thakur, R Jyothi, P Rajan, AD Dileep
2017 25th European Signal Processing Conference (EUSIPCO), 1754-1758, 2017
92017
Classification of labour contractions using KNN classifier
R Jyothi, S Hiwale, PV Bhat
2016 International Conference on Systems in Medicine and Biology (ICSMB …, 2016
92016
SOLVIT: A reference-free source localization technique using majorization minimization
R Jyothi, P Babu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2661-2673, 2020
82020
Design of high-dimensional Grassmannian frames via block minorization maximization
R Jyothi, P Babu, P Stoica
IEEE Communications Letters 25 (11), 3624-3628, 2021
52021
SLOPE: A monotonic algorithm to design sequences with good autocorrelation properties by minimizing the peak sidelobe level
R Jyothi, P Babu, M Alaee-Kerahroodi
Digital Signal Processing 116, 103142, 2021
42021
Piano: A fast parallel iterative algorithm for multinomial and sparse multinomial logistic regression
R Jyothi, P Babu
arXiv preprint arXiv:2002.09133, 2020
42020
Multi-scale energy (MuSE) plug and play framework for inverse problems
JR Chand, M Jacob
arXiv preprint arXiv:2305.04775, 2023
32023
TELET: A monotonic algorithm to design large dimensional equiangular tight frames for applications in compressed sensing
R Jyothi, P Babu
Signal Processing 195, 108503, 2022
32022
Majorization-minimization based hybrid localization method for high precision localization in wireless sensor networks
K Panwar, P Babu, R Jyothi
arXiv preprint arXiv:2205.03881, 2022
32022
PIANO: A fast parallel iterative algorithm for multinomial and sparse multinomial logistic regression
R Jyothi, P Babu
Signal Processing 194, 108459, 2022
32022
ATOM for MLE of Toeplitz structured covariance matrices for RADAR applications
A Aubry, P Babu, A De Maio, RC Jyothi
2022 IEEE Radar Conference (RadarConf22), 1-6, 2022
32022
New Methods for MLE of Toeplitz Structured Covariance Matrices with Applications to RADAR Problems
A Aubry, P Babu, A De Maio, R Jyothi
arXiv preprint arXiv:2110.12176, 2021
32021
Novel algorithms based on majorization minimization for nonnegative matrix factorization
R Jyothi, P Babu, R Bahl
IEEE Access 7, 115682-115695, 2019
32019
Plug-and-Play Deep Energy Model for Inverse problems
JR Chand, M Jacob
arXiv preprint arXiv:2302.11570, 2023
12023
Memory-efficient deep end-to-end posterior network (DEEPEN) for inverse problems
JR Chand, M Jacob
arXiv preprint arXiv:2402.05422, 2024
2024
Local monotone operator learning using non-monotone operators: MnM-MOL
M John, JR Chand, M Jacob
arXiv preprint arXiv:2312.00386, 2023
2023
Fast image recovery using plug-and-play multi-scale energy (MuSE) framework
JR Chand, M Jacob
2023 57th Asilomar Conference on Signals, Systems, and Computers, 32-35, 2023
2023
PROMPT: Parallel Iterative Algorithm for norm linear regression via Majorization Minimization with an application to semi-supervised graph learning
R Jyothi, P Babu
arXiv preprint arXiv:2110.12190, 2021
2021
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Artiklar 1–20