Results 71 to 80 of about 8,942 (181)

Sparsity and morphological diversity for multivalued data analysis [PDF]

, 2009
International audienceThe recent development of multi-channel sensors has motivated interest in devising new methods for the coherent processing of multivariate data.
Bobin, Jérome, Fadili, Jalal M., Moudden, Yassir, Starck, Jean-Luc   +3 more
core   +1 more source

Habitat Differences in Resource Density and Distribution Affect Ecology and Life History of a Landscape‐Modifying Fish

Molecular Ecology, Volume 34, Issue 22, November 2025.
ABSTRACT Resource heterogeneity is a widespread phenomenon, as resources are rarely spaced evenly across a landscape. Variation in resource density and distribution can have a myriad of behavioural, ecological, and evolutionary consequences for populations, yet clarifying these effects is still challenging.
Aneesh P. H. Bose, Boyd Dunster, Jonathan Henshaw, Lukas Koch, Jacqueline Grimm, Kristina M. Sefc, Alex Jordan   +6 more
wiley   +1 more source

Extracting individual contributions from their mixture: a blind source separation approach, with examples from space and laboratory plasmas

, 2010
Multipoint or multichannel observations in plasmas can frequently be modelled as an instantaneous mixture of contributions (waves, emissions, ...) of different origins.
Amblard, Aubry, Bobin, Brekke, Cardoso, Carey, Comon, Dinklage, Dudok de Wit, Dudok de Wit, Haykin, Hyvärinen, Kim, Kuruoglu, Leach, Lean, Lee, Lee, Lopes Cardozo, Moret, Moussaoui, Nascimento, Pedersen, Shi, Ségui   +24 more
core   +4 more sources

Effectiveness of Cognitive Behavioral Therapy in Reducing Suicidal Ideation and Influential Factors in Patients With Major Depressive Disorder: A Systematic Review and Meta‐Analysis

PsyCh Journal, Volume 14, Issue 5, Page 734-748, October 2025.
ABSTRACT To evaluate the effectiveness of cognitive behavioral therapy (CBT) interventions in reducing suicidal ideation among patients with depression, and to identify factors that moderate treatment outcomes, a systematic review and meta‐analysis was conducted searching seven major biomedical databases (CNKI, China Wanfang Database, Cochrane Library,
Mengzhen Zhao, Peng Wang
wiley   +1 more source

CDMA wireless system with blind multiuser detector

Journal of Telecommunications and Information Technology, 2006
In this paper we present an approach capable of countering the presence of multiple access interference (MAI) in code division multiple access (CDMA) channels.
Wai Yie Leon, John Homer
doaj   +1 more source

LCS: A learnlet-based sparse framework for blind source separation

Astronomy & Astrophysics
Blind source separation (BSS) plays a pivotal role in modern astrophysics by enabling the extraction of scientifically meaningful signals from multi-frequency observations.
Bonjean V., Gkogkou A., Starck J.-L., Tsakalides P.   +3 more
doaj   +1 more source

Blind Source Separation Combining Independent Component Analysis and Beamforming

EURASIP Journal on Advances in Signal Processing, 2003
We describe a new method of blind source separation (BSS) on a microphone array combining subband independent component analysis (ICA) and beamforming. The proposed array system consists of the following three sections: (1) subband ICA-based BSS section
Kurita Satoshi, Takeda Kazuya, Itakura Fumitada, Saruwatari Hiroshi, Nishikawa Tsuyoki, Shikano Kiyohiro   +5 more
doaj   +1 more source

An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor

Journal of Electrical and Computer Engineering, 2015
It is a technical challenge to effectively remove the influence of magnetic noise from the vicinity of the receiving sensors on low-frequency magnetic communication. The traditional denoising methods are difficult to extract high-quality original signals
Chao Huang, Xin Xu, Dunge Liu, Wanhua Zhu, Xiaojuan Zhang, Guangyou Fang   +5 more
doaj   +1 more source

Improved Tensor-Based Singular Spectrum Analysis Based on Single Channel Blind Source Separation Algorithm and Its Application to Fault Diagnosis

Applied Sciences, 2017
To solve the problem of multi-fault blind source separation (BSS) in the case that the observed signals are under-determined, a novel approach for single channel blind source separation (SCBSS) based on the improved tensor-based singular spectrum ...
Dan Yang, Cancan Yi, Zengbin Xu, Yi Zhang, Mao Ge, Changming Liu   +5 more
doaj   +1 more source

A Novel Damage Detection Algorithm using Time-Series Analysis-Based Blind Source Separation

Shock and Vibration, 2013
In this paper, a novel damage detection algorithm is developed based on blind source separation in conjunction with time-series analysis. Blind source separation (BSS), is a powerful signal processing tool that is used to identify the modal responses and
A. Sadhu, B. Hazra
doaj   +1 more source