Multiple component decomposition from millimeter single-channel data
, 2017 We present an implementation of a blind source separation algorithm to remove foregrounds off millimeter surveys made by single-channel instruments.
Aretxaga, Itziar +8 more
core +1 more source
Efficient independent component analysis
, 2007 Independent component analysis (ICA) has been widely used for blind source separation in many fields such as brain imaging analysis, signal processing and telecommunication.
Bickel, Peter J., Chen, Aiyou
core +2 more sources
Research on multi-target recognition method based on WSN and blind source separation
物联网学报, 2019 Aiming at the problem of signal aliasing in multi-target detection and recognition using wireless sensor network (WSN),a blind source separation algorithm was proposed,which can determine the number of targets and obtain the accurate source signals.In ...
Pengju HE, Gangyi LIU, Siyi LIU
doaj +2 more sources
Blind Source Separation for Convolutive Mixtures with Neural Networks
Advances in Electrical and Computer Engineering, 2011 Blind source separation of convolutive mixtures is used as a preprocessing stage in many applications. The aim is to extract individual signals from their mixtures.
KIREI, B. S. +4 more
doaj +1 more source
Noncontact Multiperson Respiratory Detection Method Based on Blind Source Separation
Leida xuebaoIn recent years, there has been an increasing interest in respiratory monitoring in multiperson environments and simultaneous monitoring of the health status of multiple people.
Xuan YANG +4 more
doaj +1 more source
Selective-tap blind signal processing for speech separation [PDF]
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009 In this paper, we propose a new blind multichannel adaptive filtering scheme, which incorporates a partial-updating mechanism in the error gradient of the update equation. The proposed blind processing algorithm operates in the time-domain by updating only a selected portion of the adaptive filters.
Kostas, Kokkinakis, Philipos C, Loizou
openaire +2 more sources
Generic uniqueness of a structured matrix factorization and applications in blind source separation
, 2016 Algebraic geometry, although little explored in signal processing, provides tools that are very convenient for investigating generic properties in a wide range of applications. Generic properties are properties that hold "almost everywhere". We present a
DeLathauwer, Lieven, Domanov, Ignat
core +1 more source
Blind I/Q Signal Separation-Based Solutions for Receiver Signal Processing
EURASIP Journal on Advances in Signal Processing, 2005 This paper introduces some novel digital signal processing (DSP)-based approaches to some of the most fundamental tasks of radio receivers, namely, channel equalization, carrier synchronization, and I/Q mismatch compensation. The leading principle is to
Koivunen Visa +2 more
doaj +1 more source
Blind Source Separation of Single-Channel Ship Radiated Noise Based on VMD-FastICA
水下无人系统学报To address the challenge of separating different target ship radiated noise signals from mixed signals under extreme conditions where only a single-channel signal is available, a blind source separation algorithm under single-channel conditions was ...
Yuwei LI, Huiyuan WANG
doaj +1 more source
Exploiting Acoustic Similarity of Propagating Paths for Audio Signal Separation
EURASIP Journal on Advances in Signal Processing, 2003 Blind signal separation can easily find its position in audio applications where mutually independent sources need to be separated from their microphone mixtures while both room acoustics and sources are unknown.
Yin Bin, Sommen Piet CW, He Peiyu
doaj +1 more source