Results 31 to 40 of about 293,798 (360)

A matrix-pencil approach to blind separation of non-white sourcesin white noise [PDF]

open access: yes, 1998
The problem of blind source separation in additive white noise is an important problem in speech, array and acoustic signal processing. In general this problem requires the use of higher order statistics of the received signals.
Chan, FHY, Chang, C, Ding, Z, Yau, SF
core   +1 more source

A Novel Improved Threshold Adaptive Forgetting Variable Step Size Blind Separation Model for Weak Signal Detection

open access: yesShock and Vibration, 2022
The online blind source separation (BSS) is seriously disturbed by strong noise when extracting weak signals and has the defects that it cannot both give consideration to convergence speed and steady-state error.
Tianyi Yu   +6 more
doaj   +1 more source

Atrial signal extraction in atrial fibrillation ECGs exploiting spatial constraints [PDF]

open access: yes, 2008
International audienceThe accuracy in the extraction of the atrial activity (AA) from electrocardiogram (ECG) signals recorded during atrial fibrillation (AF) episodes plays an important role in the analysis and characterization of atrial arrhhythmias ...
Bonizzi, Pietro   +4 more
core   +2 more sources

A Charrelation Matrix-Based Blind Adaptive Detector for DS-CDMA Systems

open access: yesSensors, 2015
In this paper, a blind adaptive detector is proposed for blind separation of user signals and blind estimation of spreading sequences in DS-CDMA systems.
Zhongqiang Luo, Lidong Zhu
doaj   +1 more source

An Efficient Convolutional Blind Source Separation Algorithm for Speech Signals under Chaotic Masking

open access: yesAlgorithms, 2021
As the main method of information transmission, it is particularly important to ensure the security of speech communication. Considering the more complex multipath channel transmission situation in the wireless communication of speech signals and ...
Shiyu Guo   +4 more
doaj   +1 more source

A Blind Source Separation Method Using Denoising Strategy Based on ICEEMDAN and Improved Wavelet Threshold

open access: yesMathematical Problems in Engineering, 2022
Traditional blind source separation (BSS) methods often want no additional noise effects. But in practice, noise is ubiquitous, and there are even cases with low signal-to-noise ratios (SNR).
Lu Feng   +3 more
semanticscholar   +1 more source

A Canonical Genetic Algorithm for Blind Inversion of Linear Channels [PDF]

open access: yes, 2006
It is well known the relationship between source separation and blind deconvolution: If a filtered version of an unknown i.i.d. signal is observed, temporal independence between samples can be used to retrieve the original signal, in the same manner ...
A. Taleb   +6 more
core   +1 more source

Improved Swarm Intelligent Blind Source Separation Based on Signal Cross-Correlation

open access: yesSensors, 2021
In recent years, separating effective target signals from mixed signals has become a hot and challenging topic in signal research. The SI-BSS (Blind source separation (BSS) based on swarm intelligence (SI) algorithm) has become an effective method for ...
Jiali Zi   +7 more
doaj   +1 more source

Glowworm Swarm Optimization and Its Application to Blind Signal Separation

open access: yes, 2016
Traditional optimization algorithms for blind signal separation (BSS) are mainly based on the gradient, which requires the objective function to be continuous and differentiable, so the applications of these algorithms are very limited.
Zhucheng Li, Xiang-lin Huang
semanticscholar   +1 more source

Impulse Noise Suppression Based on Power Iterative ICA in Power Line Communication [PDF]

open access: yesInternational Journal of Electronics and Telecommunications, 2019
To overcome the detrimental influence of α impulse noise in power line communication and the trap of scarce prior information in traditional noise suppression schemes , a power iteration based fast independent component analysis (PowerICA) based noise ...
Wei Zhang   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy