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20082023
most citedDictionary Learning for Blind One Bit Compressed Sensing

32 citations · 155 across the 54 of their papers we have counts for

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7 papers · 1 filter

eess.SP2023★ 1 cited

Distributed Estimation with Partially Accessible Information: An IMAT Approach to LMS Diffusion

Mahdi Shamsi, Farokh Marvasti

Distributed algorithms, particularly Diffusion Least Mean Square, are widely favored for their reliability, robustness, and fast convergence in various industries. However, limited…

eess.SP2022★ 5 cited

Robust Adaptive Generalized Correntropy-based Smoothed Graph Signal Recovery with a Kernel Width Learning

Razieh Torkamani, Hadi Zayyani, Farokh Marvasti

This paper proposes a robust adaptive algorithm for smooth graph signal recovery which is based on generalized correntropy. A proper cost function is defined for this purpose. The…

eess.SP2020

Supervised Heart Rate Tracking using Wrist-Type Photoplethysmographic (PPG) Signals during Physical Exercise without Simultaneous Acceleration Signals

Mahmoud Essalat, Mahdi Boloursaz Mashhadi, Farokh Marvasti

PPG based heart rate (HR) monitoring has recently attracted much attention with the advent of wearable devices such as smart watches and smart bands. However, due to severe motion…

eess.SP2019

A Nonlinear Acceleration Method for Iterative Algorithms

Mahdi Shamsi, Mahmoud Ghandi, Farokh Marvasti

Iterative methods have led to better understanding and solving problems such as missing sampling, deconvolution, inverse systems, impulsive and Salt and Pepper noise removal proble…

eess.SP2019

Sum Capacity Bounds and Design of Suboptimal Codes for Asynchronous CDMA Systems

Shayan Dashmiz, Seyed Mohammad Mansouri, Amir Najafi +1

In this paper, we study two issues in asynchronous communication systems. The first issue is the derivation of sum capacity bounds for finite dimensional asynchronous systems. In a…

eess.SP2018

Impulsive Noise Robust Sparse Recovery via Continuous Mixed Norm

Amirhossein Javaheri, Hadi Zayyani, Mario A. T. Figueiredo +1

This paper investigates the problem of sparse signal recovery in the presence of additive impulsive noise. The heavytailed impulsive noise is well modelled with stable distribution…