A Novel Approach for Blind Separation of Convolutive Noisy Speech Mixtures Based on Block Thresholding

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M.A. JADOON
Z. A. KHAN
M. A. SHAH
I. KHAN
I. A. SHAH
S. JAN
M. A. MAHMOOD

Abstract

Network Coding (NC) is a new paradigm that gave height to cooperative networks in wireless communication by increasing reliability, throughput and capacity of the systems. Analog Network Coding (ANC) and the Physical-layer Network Coding (PNC) are two most studied variants of NC. In this paper, we present the simulation analysis for both of these techniques for terrestrial identical fading channels (Rician) and hybrid satellite-terrestrial non-identical fading channels (Rician+Nakagami-m). For former case, relay optimization is considered as an important facet in our simulation results during evaluating SER and Outage probability while for the later case, we evaluated both SER and Outage Probability over non-identical fading channels. Our results show the comparison of both ANC and PNC which indicates the reliability of PNC over ANC while processing advantage of ANC over PNC.

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How to Cite
M.A. JADOON, Z. A. KHAN, M. A. SHAH, I. KHAN, I. A. SHAH, S. JAN, & M. A. MAHMOOD. (2014). A Novel Approach for Blind Separation of Convolutive Noisy Speech Mixtures Based on Block Thresholding. Sindh University Research Journal - SURJ (Science Series), 46(1). Retrieved from https://sujo.usindh.edu.pk/index.php/SURJ/article/view/5312
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