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20142025
most citedDouble-detector for Sparse Signal Detection from One Bit Compressed Sensing Measurements

37 citations · 78 across the 17 of their papers we have counts for

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6 papers · 1 filter

stat.ML2016

Weighted diffusion LMP algorithm for distributed estimation in non-uniform noise conditions

H. Zayyani, M. Korki

This letter presents an improved version of diffusion least mean ppower (LMP) algorithm for distributed estimation. Instead of sum of mean square errors, a weighted sum of mean squ…

stat.ML2016

Sparse Diffusion Steepest-Descent for One Bit Compressed Sensing in Wireless Sensor Networks

Hadi Zayyani, Mehdi Korki, Farrokh Marvasti

This letter proposes a sparse diffusion steepest-descent algorithm for one bit compressed sensing in wireless sensor networks. The approach exploits the diffusion strategy from dis…

stat.ML2015

Bayesian hypothesis testing for one bit compressed sensing with sensing matrix perturbation

H. Zayyani, M. Korki, F. Marvasti

This letter proposes a low-computational Bayesian algorithm for noisy sparse recovery in the context of one bit compressed sensing with sensing matrix perturbation. The proposed al…

stat.ML2015★ 32 cited

Dictionary Learning for Blind One Bit Compressed Sensing

Hadi Zayyani, Mehdi Korki, Farrokh Marvasti

This letter proposes a dictionary learning algorithm for blind one bit compressed sensing. In the blind one bit compressed sensing framework, the original signal to be reconstructe…

stat.ML2015★ 1 cited

Bayesian Hypothesis Testing for Block Sparse Signal Recovery

Mehdi Korki, Hadi Zayyani, Jingxin Zhang

This letter presents a novel Block Bayesian Hypothesis Testing Algorithm (Block-BHTA) for reconstructing block sparse signals with unknown block structures. The Block-BHTA comprise…

stat.ML2014

Iterative Bayesian Reconstruction of Non-IID Block-Sparse Signals

Mehdi Korki, Jingxin Zhang, Cishen Zhang +1

This paper presents a novel Block Iterative Bayesian Algorithm (Block-IBA) for reconstructing block-sparse signals with unknown block structures. Unlike the existing algorithms for…