144 citations · 341 across the 27 of their papers we have counts for
36 papers
A Versatile Framework for Designing Group-Sparse Adversarial Attacks
Alireza Heshmati, Saman Soleimani Roudi, Sajjad Amini +2
Existing adversarial attacks often neglect perturbation sparsity, limiting their ability to model structural changes and to explain how deep neural networks (DNNs) process meaningf…
Resilient Signal Reflection under CSI Perturbations: A Robust Approach for Secure RIS Communication
Mahdi Shamsi, Hadi Zayyani, Farokh Marvasti
Reconfigurable Intelligent Surfaces (RIS) have emerged as a transformative technology in wireless communication, enabling dynamic control over signal propagation. This paper tackle…
Time-Varying Graph Learning for Data with Heavy-Tailed Distribution
Amirhossein Javaheri, Jiaxi Ying, Daniel P. Palomar +1
Graph models provide efficient tools to capture the underlying structure of data defined over networks. Many real-world network topologies are subject to change over time. Learning…
Joint Signal Recovery and Graph Learning from Incomplete Time-Series
Amirhossein Javaheri, Arash Amini, Farokh Marvasti +1
Learning a graph from data is the key to taking advantage of graph signal processing tools. Most of the conventional algorithms for graph learning require complete data statistics,…
Augmenting SEFDM Performance in High-Doppler Channels
Mahdi Shamsi, Farokh Marvasti
This paper presents an innovative approach leveraging Spectrally Efficient Frequency Division Multiplexing (SEFDM) with enhancements, including Frequency Domain Cyclic Prefix (FDCP…
Algorithmic Trading Using Continuous Action Space Deep Reinforcement Learning
Naseh Majidi, Mahdi Shamsi, Farokh Marvasti
Price movement prediction has always been one of the traders' concerns in financial market trading. In order to increase their profit, they can analyze the historical data and pred…
Efficient Sparse Artificial Neural Networks
Seyed Majid Naji, Azra Abtahi, Farokh Marvasti
The brain, as the source of inspiration for Artificial Neural Networks (ANN), is based on a sparse structure. This sparse structure helps the brain to consume less energy, learn ea…
Distributed interference cancellation in multi-agent scenarios
Mahdi Shamsi, Alireza Moslemi Haghighi, Farokh Marvasti
This paper considers the problem of detecting impaired and noisy nodes over network. In a distributed algorithm, lots of processing units are incorporating and communicating with e…
A Fast Iterative Method for Removing Impulsive Noise from Sparse Signals
Sahar Sadrizadeh, Nematollah Zarmehi, Ehsan Asadi +2
In this paper, we propose a new method to reconstruct a signal corrupted by noise where both signal and noise are sparse but in different domains. The problem investigated in this…
A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure
Ashkan Esmaeili, Farokh Marvasti
In this paper, we introduce a novel and robust approach to Quantized Matrix Completion (QMC). First, we propose a rank minimization problem with constraints induced by quantization…
NLOS Mitigation Using Sparsity Feature And Iterative Methods
Abbas Abolfathi, Fereidoon Behnia, Farokh Marvasti
Well-known methods are employed to localize mobile station (MS) using line of sight (LOS) measurements. These methods may result in large error if they are fed with non LOS (NLOS)…
Feedback Acquisition and Reconstruction of Spectrum-Sparse Signals by Predictive Level Comparisons
Mahdi Boloursaz Mashhadi, Saeed Gazor, Nazanin Rahnavard +1
In this letter, we propose a sparsity promoting feedback acquisition and reconstruction scheme for sensing, encoding and subsequent reconstruction of spectrally sparse signals. In…
Bounds on Discrete Fourier Transform of Random Mask
Nematollah Zarmehi, Farokh Marvasti
This paper proposes some bounds on the maximum of magnitude of a random mask in Fourier domain. The random mask is used in random sampling scheme. Having a bound on the maximum val…
Iterative method for simultaneous sparse approximation
Sahar Sadrizadeh, Shahrzad Kiani, Mahdi Boloursaz +1
This paper studies the problem of Simultaneous Sparse Approximation (SSA). This problem arises in many applications which work with multiple signals maintaining some degree of depe…
Measurement-Adaptive Sparse Image Sampling and Recovery
Ali Taimori, Farokh Marvasti
This paper presents an adaptive and intelligent sparse model for digital image sampling and recovery. In the proposed sampler, we adaptively determine the number of required sample…
Adaptive Singular Value Thresholding
Nematollah Zarmehi, Farokh Marvasti
In this paper, we propose an Adaptive Singular Value Thresholding (ASVT) for low rank recovery under affine constraints. Unlike previous iterative methods that the threshold level…
A Convex Similarity Index for Sparse Recovery of Missing Image Samples
Amirhossein Javaheri, Hadi Zayyani, Farokh Marvasti
This paper investigates the problem of recovering missing samples using methods based on sparse representation adapted especially for image signals. Instead of -norm or Mean S…
Using Empirical Covariance Matrix in Enhancing Prediction Accuracy of Linear Models with Missing Information
Ahmadreza Moradipari, Sina Shahsavari, Ashkan Esmaeili +1
Inference and Estimation in Missing Information (MI) scenarios are important topics in Statistical Learning Theory and Machine Learning (ML). In ML literature, attempts have been m…
Interpolation of Sparse Graph Signals by Sequential Adaptive Thresholds
Mahdi Boloursaz Mashhadi, Maryam Fallah, Farokh Marvasti
This paper considers the problem of interpolating signals defined on graphs. A major presumption considered by many previous approaches to this problem has been lowpass/ band-limit…
Fast Methods for Recovering Sparse Parameters in Linear Low Rank Models
Ashkan Esmaeili, Arash Amini, Farokh Marvasti
In this paper, we investigate the recovery of a sparse weight vector (parameters vector) from a set of noisy linear combinations. However, only partial information about the matrix…
Sampling and Distortion Tradeoffs for Indirect Source Retrieval
Elaheh Mohammadi, Alireza Fallah, Farokh Marvasti
Consider a continuous signal that cannot be observed directly. Instead, one has access to multiple corrupted versions of the signal. The available corrupted signals are correlated…
Power Allocation and Measurement Matrix Design for Block CS-Based Distributed MIMO Radars
Azra Abtahi, M. Modarres-Hashemi, Farokh Marvasti +1
Multiple-input multiple-output (MIMO) radars offer higher resolution, better target detection, and more accurate target parameter estimation. Due to the sparsity of the targets in…
Heart Rate Tracking using Wrist-Type Photoplethysmographic (PPG) Signals during Physical Exercise with Simultaneous Accelerometry
Mahdi Boloursaz Mashhadi, Ehsan Asadi, Mohsen Eskandari +2
This paper considers the problem of casual heart rate tracking during intensive physical exercise using simultaneous 2 channel photoplethysmographic (PPG) and 3 dimensional (3D) ac…
Multi-Hypothesis Compressed Video Sensing Technique
Masoumeh Azghani, Mostafa Karimi, Farokh Marvasti
In this paper, we present a compressive sampling and Multi-Hypothesis (MH) reconstruction strategy for video sequences which has a rather simple encoder, while the decoding system…