Compressive Sensing| Performance of Sparse Channel Estimation in Orthogonal Frequency Division Multiplexing

<p> Compressive Sensing is a signal processing technique that is based on the property that the sparsity concept of a given signal can be exploited to reconstruct the signal successfully while disobeying Shannon&rsquo;s Nyquist Theorem with fewer samples than what is required. </p>&l...

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Bibliographic Details
Main Author: Shenoy, Dinesh Nandakumar
Language:EN
Published: California State University, Long Beach 2018
Subjects:
Online Access:http://pqdtopen.proquest.com/#viewpdf?dispub=10751778