5 citations · 5 across the 4 of their papers we have counts for
6 papers
Trellis-Based Noise Modulation with Soft-Decision Viterbi Detection
Razieh Torkamani, Hadi Zayyani, Mohammad Salman +2
Noise modulation conveys information through the statistical properties of noise rather than conventional deterministic signal parameters. This paper investigates a trellis-based n…
Bayesian Convolutional Neural Networks for Prior Learning in Graph Signal Recovery
Razieh Torkamani, Arash Amini, Hadi Zayyani +1
Graph signal recovery (GSR) is a fundamental problem in graph signal processing, where the goal is to reconstruct a complete signal defined over a graph from a subset of noisy or m…
Proportionate Adaptive Graph Signal Recovery
Razieh Torkamani, Hadi Zayyani, Mehdi Korki
This paper generalizes the proportionate-type adaptive algorithm to the graph signal processing and proposes two proportionate-type adaptive graph signal recovery algorithms. The g…
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…
Statistical Graph Signal Recovery Using Variational Bayes
Razieh Torkamani, Hadi Zayyani
This paper investigates the problem of graph signal recovery (GSR) when the topology of the graph is not known in advance. In this paper, the elements of the weighted adjacency mat…
Model-based Decentralized Bayesian Algorithm for Distributed Compressed Sensing
Razieh Torkamani, Hadi Zayyani, Ramazan Ali Sadeghzadeh
In this paper, a novel model-based distributed compressive sensing (DCS) algorithm is proposed. DCS exploits the inter-signal correlations and has the capability to jointly recover…