37 citations · 78 across the 17 of their papers we have counts for
8 papers · 1 filter
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…
Markovian Block Sparse Signal Detection Using One Bit Measurements
Alireza Hariri, Hadi Zayyani, Mehdi Korki
This paper presents a novel sparse signal detection scheme designed for a correlated Markovian Bernoulli-Gaussian sparse signal model, which can equivalently be viewed as a block s…
Double-Private Distributed Estimation Algorithm Using Differential Privacy and a Key-Like Proportionate Matrix with Its Performance Analysis
Mehdi Korki, Fatemehsadat Hosseiniamin, Hadi Zayyani +1
In this brief, we present an enhanced privacy-preserving distributed estimation algorithm, referred to as the ``Double-Private Algorithm," which combines the principles of both dif…
Second-Order Nonlinearity Estimated and Compensated Diffusion LMS Algorithm: Theoretical Upper Bound, Cramer-Rao Lower bound, and Convergence Analysis
Hadi Zayyani, Mehdi Korki
In this paper, an algorithm for estimation and compensation of second-order nonlinearity in wireless sensor setwork (WSN) in distributed estimation framework is proposed. First, th…
Diffusion LMS for Distributed Estimation over Wireless Networks with Inter-Node Interference Perturbation
Mohammadjavad Mirzazadeh Moallem, Mehdi Korki
In this paper, we investigate the diffusion least mean square (DLMS) algorithm over fading channel, where in addition to channel noise and path-loss the inter-node-interference (IN…
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…
One Bit Spectrum Sensing in Cognitive Radio Sensor Networks
Hadi Zayyani, Farzan Haddadi, Mehdi Korki
This paper proposes a spectrum sensing algorithm from one bit measurements in a cognitive radio sensor network. A likelihood ratio test (LRT) for the one bit spectrum sensing probl…