Distributed Phased-Array Radar Mainlobe Interference Suppression and Cooperative Localization Based on CEEMDAN–WOBSS [PDF]
Mainlobe interference can severely degrade the performance of distributed phased-array radar systems in the presence of strong jamming or low-reflectivity targets.
Xiang Liu +5 more
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Performing Nonlinear Blind Source Separation With Signal Invariants [PDF]
8 pages, 3 ...
Levin, David N.
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An Anti-Mainlobe Suppression Jamming Method Based on Improved Blind Source Separation Using Variational Mode Decomposition and Wavelet Packet Decomposition [PDF]
Mainlobe suppression jamming significantly degrades radar detection performance. The conventional blind source separation (BSS) algorithms often fail under high-jamming-to-signal-ratio (JSR) and low-signal-to-noise-ratio (SNR) conditions.
Ruike Li +6 more
doaj +2 more sources
Blind Signal Separation Algorithm for Non-negative Matrix Factorization Based on Projected Gradient [PDF]
In blind signal separation process,the Non-negative Matrix Factorization(NMF) based on multiplicative iteration has the problem of large computation and slow decomposition speed.So a new blind signal separation algorithm for NMF based on projected ...
LI Yu,HE Shijun
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Underdetermined Blind Source Separation Algorithm for Speech Signal Based on DSKSVD Dictionary Learning [PDF]
In order to overcome the shortcoming that the traditional learning algorithm training has limited dictionary size and large amount of computation,the algorithm of underdetermined blind source separation for speech signal based on the dictionary learning ...
LI Hu,XU Yan
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Accelerated Conjugate Gradient for Second-Order Blind Signal Separation
This paper proposes a new adaptive algorithm for the second-order blind signal separation (BSS) problem with convolutive mixtures by utilising a combination of an accelerated gradient and a conjugate gradient method.
Hai Huyen Dam, Sven Nordholm
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Blind source separation algorithm for complex signals in noise
Complex signal analysis is one of the common problems in signal processing technology. In blind signal separation technology, especially convolution mixing problem or frequency domain analysis, it is necessary to establish the corresponding complex value
Feng Pingxing, Zhang Hongbo, Li Wenxiang
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JCCM: Joint conformer and CNN model for overlapping radio signals recognition
Overlapping radio signals recognition is attracting more attention as the development and ubiquitous application of radio technologies. The traditional blind signal separation (BSS) method is mostly not effective when both radio propagation effects and ...
Junbin Liang +5 more
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A Comparative Study of Methods for Separating Audio Signals [PDF]
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
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
doaj +2 more sources

