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Pradyumna Pradhan
Observed name:
Pradhan, Pradyumna
Institution:
Indian Institute of Petroleum and Energy
Observed institutions:
Indian Institute of Technology Roorkee,
Visvesvaraya National Institute of Technology,
Indian Institute of Petroleum and Energy
ORCID:
0009-0008-6807-5195
Observed ORCID:
0009-0008-6807-5195
OpenAlex ID:
A5069658303
Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding
2024
·
Shaik Basheeruddin Shah
, Pradyumna Pradhan
, et al.
·
IEEE Transactions on Signal Processing
·
15
PDF
Non-negative sparse signal recovery using the integration of ReLU and hard thresholding pursuit operators
2025
·
Pradyumna Pradhan
, Sk Md Atique Anwar
, et al.
·
Signal Processing
·
7
WAMS based Thevenin Index for voltage stability assessment with increasing wind power penetration and additional distributed load
2021
·
Raju Chintakindi
, Pradyumna Pradhan
, et al.
·
Energy Reports
·
7
PDF
Unrolled Proximal Gradient Descent Method for Non-Negative Least Squares Problem
2024
·
Akash Sen
, Pradyumna Pradhan
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
6
Deterministic construction of unimodular tight frames consisting orthogonal blocks via block preserving operators
2024
·
Pradyumna Pradhan
, Shubham Kumar Jain
, et al.
·
Signal Processing
·
4
Deep Unfolding of Tail-Based Methods for Robust Sparse Recovery Under Noise and Model Mismatch
2025
·
Yhonatan Kvich
, Pagoti Reshma
, et al.
·
IEEE Transactions on Neural Networks and Learning Systems
·
3
Recursive-Tail-Fista for Sparse Signal Recovery
2024
·
Pradyumna Pradhan
, Shaik Basheeruddin Shah
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
3
Power Flow Analysis of 2×27.5 kV Traction Network with Single-Phase Transformer and V/V Transformer at Traction Substation
2024
·
Prasanjit Kar
, Pradyumna Pradhan
, et al.
·
International Conference on Power, Control and Computing Technologies (ICPC2T)
·
2
WAMS based Thevenin Index for Voltage Stability Assessment of Power System Integrated with Wind Farm
2021
·
Pradyumna Pradhan
, Raju Chintakindi
, et al.
·
International Conference on Intelligent Technologies (CONIT)
·
2
Sufficient Conditions for Convergence of RHT and RHTP Algorithms Based on RIC of Order $2s$
2025
·
Sk Md Atique Anwar
, Pradyumna Pradhan
, et al.
·
IEEE Signal Processing Letters
·
1
Non-iterative sparse signal recovery algorithms for sparse matrices and their guarantees
2025
·
Pradyumna Pradhan
, Shubham Kumar Jain
, et al.
·
Journal of the Franklin Institute
·
1
Deep Learned-CoSaMP Network for Signal Denoising
2025
·
Pagoti Reshma
, Pradyumna Pradhan
, et al.
·
International Conference on Sampling Theory and Applications
·
1
Disjunct-Block-OMP: A fast block sparse signal recovery algorithm for embedded matrices
2026
·
Shubham Kumar Jain
, Pradyumna Pradhan
, et al.
·
Signal Processing
Efficient Coreset Generation for Chest X-ray Imaging Using Compressed Sensing
2026
·
Pradyumna Pradhan
, Soham Mukherjee
, et al.
·
Proceedings - International Conference on Image Processing
Batch correction reshapes dual-transition gene lists in confounded GTEx-TCGA prostate RNA-seq
2026
·
Pradhan, Pradyumna
·
Zenodo (CERN European Organization for Nuclear Research)
A Frame-Theoretic Approach to Robust Filter Pruning in Convolutional Neural Networks
2026
·
Pradyumna Pradhan
, Pradip Sasmal
, et al.
·
IEEE Signal Processing Letters
Bound on RIP of Order $s+1$ for HTP Algorithm
2026
·
Sk Md Atique Anwar
, Pradyumna Pradhan
, et al.
·
IEEE Signal Processing Letters
Current Mismatch-Based Newton-Raphson Power Flow Algorithm for Autotransformer Fed Traction Power Supply System
2025
·
Pradyumna Pradhan
, Biswarup Das
·
IEEE International Conference on Smart Technologies for Power, Energy and Control (STPEC)
Learned ReLU-Based Soft Thresholding: A Data-Driven Method for Non-Negative Sparse Signal Recovery
2025
·
Akash Sen
, Pradyumna Pradhan
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
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Works count:
19
Citation count:
52
H-index:
4
I10-index:
1
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