Results 21 to 30 of about 293,798 (360)
Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation [PDF]
Nature Communications, 2022 The expansion of telecommunications incurs increasingly severe crosstalk and interference, and a physical layer cognitive method, called blind source separation (BSS), can effectively address these issues.
Weipeng Zhang +8 more
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A Comparative Study of Methods for Separating Audio Signals [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2020 The process of separating signal from a mixture of signals represents an essential task for many applications including sound signal processing and speech processing systems as well as medical signal processing.
Riham Issa, Yusra Mohammad
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Overview of research progress on blind separation methods for single channel communication signal
Tongxin xuebao, 2023 Significant progress has been made in the research of single channel blind signal separation (SCBSS) methods, as the theoretical and practical applications of SCBSS technology have been continuously improved.A new classification framework for blind ...
Wen DENG, Zhitao HUANG, Xiang WANG
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Blind Source Separation based on Whale Optimization Algorithm
MATEC Web of Conferences, 2018 Aiming at the problem of linear instantaneous aliasing in blind source separation, a new method of blind signal separation using whale optimization algorithm is proposed in this paper, which provides a new research idea and method for blind signal ...
Ding-li CHU, Hong CHEN, Han-yi CHEN
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Blind Source Separation Based on Double-Mutant Butterfly Optimization Algorithm
Sensors, 2022 The conventional blind source separation independent component analysis method has the problem of low-separation performance. In addition, the basic butterfly optimization algorithm has the problem of insufficient search capability. In order to solve the
Qingyu Xia +5 more
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Convexity in source separation: Models, geometry, and algorithms [PDF]
, 2013 Source separation or demixing is the process of extracting multiple components entangled within a signal. Contemporary signal processing presents a host of difficult source separation problems, from interference cancellation to background subtraction ...
Asaei, Afsaneh +4 more
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Methods for the blind signal separation problem [PDF]
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003, 2003 This paper classifies and reviews the available algorithms to blind signal separation (BSS) problem. Based on the separation criteria, we broadly divide all the reviewed algorithms into four categories, namely: classical adaptive, higher-order statistics based, information theory based algorithms and others.
Yan Li, David M. W. Powers, Peng Wen
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Second order statistics based blind source separation for artifact correction of short ERP epochs [PDF]
, 2003 ERP is commonly obtained by averaging over segmented EEC epochs. In case artifacts are present in the raw EEC measurement, pre-processing is required to prevent the averaged ERP waveform being interfered by artifacts. The simplest pre-processing approach
Chan, CCH +5 more
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Blind separation of asymmetric signals based on Synchrosqueezing Wavelet Transform
MATEC Web of Conferences, 2018 A blind separation algorithm based on synchronous squeezing wavelet transform is proposed to solve the blind separation problem of single channel asymmetric signals in satellite communications.
Peng Chuang, Yang Xiaojing, Zhang Yu
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IEEE Access, 2018 With the rapid proliferation of wireless services, the frequency spectrum has become increasingly crowded, and the interferences and composite signals will be ubiquitous in the wireless receiver.
Zhongqiang Luo, Chengjie Li, Lidong Zhu
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