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09/19/2023
Non-Orthogonal Time-Frequency Space Modulation
This paper proposes a Time-Frequency Space Transformation (TFST) to deri...
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10/07/2022
Algorithmic Trading Using Continuous Action Space Deep Reinforcement Learning
Price movement prediction has always been one of the traders' concerns i...
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10/07/2021
Ensemble Neural Representation Networks
Implicit Neural Representation (INR) has recently attracted considerable...
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03/13/2021
Efficient Sparse Artificial Neural Networks
The brain, as the source of inspiration for Artificial Neural Networks (...
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10/22/2019
Distributed interference cancellation in multi-agent scenarios
This paper considers the problem of detecting impaired and noisy nodes o...
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06/04/2019
A Nonlinear Acceleration Method for Iterative Algorithms
Iterative methods have led to better understanding and solving problems ...
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02/09/2019
Sparsity Promoting Reconstruction of Delta Modulated Voice Samples by Sequential Adaptive Thresholds
In this paper, we propose the family of Iterative Methods with Adaptive ...
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02/08/2019
A Fast Iterative Method for Removing Impulsive Noise from Sparse Signals
In this paper, we propose a new method to reconstruct a signal corrupted...
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02/08/2019
A Fast Iterative Method for Removing Sparse Noise from Sparse Signals
In this paper, we propose a new method to reconstruct a signal corrupted...
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11/16/2018
A Novel Approach to Sparse Inverse Covariance Estimation Using Transform Domain Updates and Exponentially Adaptive Thresholding
Sparse Inverse Covariance Estimation (SICE) is useful in many practical ...
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11/07/2018
Forensic Discrimination between Traditional and Compressive Imaging Systems
Compressive sensing is a new technology for modern computational imaging...
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10/29/2018
A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure
In this paper, we introduce a novel and robust approach to Quantized Mat...
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10/07/2018
Recovering Quantized Data with Missing Information Using Bilinear Factorization and Augmented Lagrangian Method
In this paper, we propose a novel approach in order to recover a quantiz...
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05/19/2018
Transduction with Matrix Completion Using Smoothed Rank Function
In this paper, we propose two new algorithms for transduction with Matri...
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11/27/2017
Feedback Acquisition and Reconstruction of Spectrum-Sparse Signals by Predictive Level Comparisons
In this letter, we propose a sparsity promoting feedback acquisition and...
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11/25/2017
Multivariate Copula Spatial Dependency in One Bit Compressed Sensing
In this letter, the problem of sparse signal reconstruction from one bit...
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06/28/2017
Recovery of Missing Samples Using Sparse Approximation via a Convex Similarity Measure
In this paper, we study the missing sample recovery problem using method...
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06/09/2017
Measurement-Adaptive Sparse Image Sampling and Recovery
This paper presents an adaptive and intelligent sparse model for digital...
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05/01/2017
Comparison of Uniform and Random Sampling for Speech and Music Signals
In this paper, we will provide a comparison between uniform and random s...
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04/07/2017
OBTAIN: Real-Time Beat Tracking in Audio Signals
In this paper, we design a system in order to perform the real-time beat...
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03/09/2017
Recovery of Sparse and Low Rank Components of Matrices Using Iterative Method with Adaptive Thresholding
In this letter, we propose an algorithm for recovery of sparse and low r...
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01/25/2017
A Convex Similarity Index for Sparse Recovery of Missing Image Samples
This paper investigates the problem of recovering missing samples using ...
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01/03/2017
New Methods of Enhancing Prediction Accuracy in Linear Models with Missing Data
In this paper, prediction for linear systems with missing information is...
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06/26/2016
Fast Methods for Recovering Sparse Parameters in Linear Low Rank Models
In this paper, we investigate the recovery of a sparse weight vector (pa...
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06/12/2016
Comparison of Several Sparse Recovery Methods for Low Rank Matrices with Random Samples
In this paper, we will investigate the efficacy of IMAT (Iterative Metho...
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07/10/2014
Real-Time Impulse Noise Suppression from Images Using an Efficient Weighted-Average Filtering
In this paper, we propose a method for real-time high density impulse no...
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01/23/2014
Image Block Loss Restoration Using Sparsity Pattern as Side Information
In this paper, we propose a method for image block loss restoration base...
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04/13/2012
