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03/11/2021
Improved Coherence Index-Based Bound in Compressive Sensing
Within the Compressive Sensing (CS) paradigm, sparse signals can be reco...
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03/27/2020
RANSAC-Based Signal Denoising Using Compressive Sensing
In this paper, we present an approach to the reconstruction of signals e...
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01/02/2020
Graph Signal Processing – Part III: Machine Learning on Graphs, from Graph Topology to Applications
Many modern data analytics applications on graphs operate on domains whe...
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09/23/2019
Graph Signal Processing – Part II: Processing and Analyzing Signals on Graphs
The focus of Part I of this monograph has been on both the fundamental p...
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09/17/2019
On reconstruction algorithms for signals sparse in Hermite and Fourier domains
This thesis consists of original contributions in the area of digital si...
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07/08/2019
Vertex-Frequency Graph Signal Processing
Graph signal processing deals with signals which are observed on an irre...
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07/08/2019
Graph Signal Processing -- Part I: Graphs, Graph Spectra, and Spectral Clustering
The area of Data Analytics on graphs promises a paradigm shift as we app...
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07/01/2019
Quantization in Compressive Sensing: A Signal Processing Approach
Influence of the finite-length registers and quantization effects on the...
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03/31/2019
On the Decomposition of Multivariate Nonstationary Multicomponent Signals
With their ability to handle an increased amount of information, multiva...
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05/12/2017
Detection of irregular QRS complexes using Hermite Transform and Support Vector Machine
Computer based recognition and detection of abnormalities in ECG signals...
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03/01/2017
