Results 41 to 50 of about 191,485 (185)

Study on weak sound signal separation and pattern recognition under strong background noise in marine engineering

open access: yesJournal of Low Frequency Noise, Vibration and Active Control
The extraction of weak acoustic signals under strong background noise is of great significance in the applications of target identification and localization.
Song Liu   +5 more
doaj   +1 more source

A Blind Source Separation Method Based on Bounded Component Analysis Optimized by the Improved Beetle Antennae Search

open access: yesSensors, 2023
Currently, the widely used blind source separation algorithm is typically associated with issues such as a sluggish rate of convergence and unstable accuracy, and it is mostly suitable for the separation of independent source signals.
Mingyang Tang, Yafeng Wu
doaj   +1 more source

From Blind Signal Extraction to Blind Instantaneous Signal Separation: Criteria, Algorithms, and Stability

open access: yesIEEE Transactions on Neural Networks, 2004
This paper reports a study on the problem of the blind simultaneous extraction of specific groups of independent components from a linear mixture. This paper first presents a general overview and unification of several information theoretic criteria for the extraction of a single independent component.
Sergio A, Cruces-Alvarez   +2 more
openaire   +2 more sources

Sparse and Non-Negative BSS for Noisy Data

open access: yes, 2013
Non-negative blind source separation (BSS) has raised interest in various fields of research, as testified by the wide literature on the topic of non-negative matrix factorization (NMF). In this context, it is fundamental that the sources to be estimated
Bobin, Jérôme   +3 more
core   +3 more sources

Blind Separation Of Cyclostationary Signals

open access: yes, 1998
Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Dapena, Adriana   +2 more
openaire   +1 more source

Image Decomposition and Separation Using Sparse Representations: An Overview [PDF]

open access: yes, 2010
This paper gives essential insights into the use of sparsity and morphological diversity in image decomposition and source separation by reviewing our recent work in this field.
Bobin, Jérôme   +3 more
core  

Separation of Cyclostationary Signals and Interference in Transmission Lines of Printed Circuit Boards Based on Independent Component Analysis

open access: yesИзвестия высших учебных заведений России: Радиоэлектроника
Introduction. When developing and testing high-speed communication links of digital electronic devices, the pulse shape of electrical signals and interference in transmission lines is commonly controlled using eye diagrams.
Yu. V. Kuznetsov   +3 more
doaj   +1 more source

A Sparse Underdetermined Blind Source Separation Method and Its Application in Fault Diagnosis of Rotating Machinery

open access: yesComplexity, 2020
Rolling element bearing is one of the most commonly used supporting parts in rotating machinery, and it is also one of the most easily failing rotating parts.
HongChao Wang, WenLiao Du
doaj   +1 more source

Single channel blind source separation of complex signals based on spatial‐temporal fusion deep learning

open access: yesIET Radar, Sonar & Navigation, 2023
Blind Source Separation (BSS) of complex signals composed of radar, communication and jamming signals is the first step in an integrated electronic system, which requires higher accuracy of separation. However, the traditional Single‐Channel Blind Source
Weilin Luo   +5 more
doaj   +1 more source

Single-Channel Blind Source Separation of Spatial Aliasing Signal Based on Stacked-LSTM

open access: yesSensors, 2021
Aiming at the problem of insufficient separation accuracy of aliased signals in space Internet satellite-ground communication scenarios, a stacked long short-term memory network (Stacked-LSTM) separation method based on deep learning is proposed.
Mengchen Zhao   +5 more
doaj   +1 more source

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