Convolutive Blind Source Separation for Communication Signals Based on the Sliding Z-Transform [PDF]
IEEE Access, 2020 Convolutive blind source separation (CBSS) is one of the main branches in the field of intelligent signal processing. Inspired by the thought of sliding discrete Fourier transform (DFT), an idea of the sliding Z-transform is introduced in the present ...
Yinjie Jia, Pengfei Xu
doaj +2 more sources
Distributed Phased-Array Radar Mainlobe Interference Suppression and Cooperative Localization Based on CEEMDAN–WOBSS [PDF]
SensorsMainlobe 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
doaj +2 more sources
An analysis of the limitations of blind signal separation application with speech [PDF]
, 2006 Blind Signal Separation (BSS) techniques are commonly employed in the separation of speech signals, using Independent Component Analysis (ICA) as the criterion for separation.
Burnett, I, Lukasiak, J, Smith, D
core +3 more sources
An Anti-Mainlobe Suppression Jamming Method Based on Improved Blind Source Separation Using Variational Mode Decomposition and Wavelet Packet Decomposition [PDF]
SensorsMainlobe 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
Performing Nonlinear Blind Source Separation with Signal Invariants [PDF]
IEEE Transactions on Signal Processing, 2009 Given a time series of multicomponent measurements x(t), the usual objective of nonlinear blind source separation (BSS) is to find a "source" time series s(t), comprised of statistically independent combinations of the measured components. In this paper,
Levin, David N.
core +2 more sources
Blind Signal Separation Algorithm for Non-negative Matrix Factorization Based on Projected Gradient [PDF]
Jisuanji gongcheng, 2016 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
doaj +1 more source
Underdetermined Blind Source Separation Algorithm for Speech Signal Based on DSKSVD Dictionary Learning [PDF]
Jisuanji gongcheng, 2018 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
doaj +1 more source
Accelerated Conjugate Gradient for Second-Order Blind Signal Separation
Acoustics, 2022 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
doaj +1 more source
Blind source separation algorithm for complex signals in noise
Dianzi Jishu Yingyong, 2022 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
doaj +1 more source
JCCM: Joint conformer and CNN model for overlapping radio signals recognition
Electronics Letters, 2023 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
doaj +1 more source