Analytical method for blind binary signal separation
Proceedings of 13th International Conference on Digital Signal Processing, 1997 The blind separation of multiple co-channel binary digital signals using an antenna array involves finding a factorization of a data matrix X into X=AS, where all entries of S are +1 or -1. It is shown that this problem can be solved exactly and non-iteratively, via a certain generalized eigenvalue decomposition.
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Blind Signal Separation Through Cooperating ANNs [PDF]
, 2005 This paper is devoted to proposing and testing a strategy for decomposing compound signals obtained in remote sensing applications through the automatic generation of cooperating ANNs that model it. Each ANN will specialize in one of the primitives that make up the whole.
Francisco Bellas +2 more
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Generalized Non-orthogonal Joint Diagonalization with LU Decomposition and Successive Rotations
, 2015 Non-orthogonal joint diagonalization (NJD) free of prewhitening has been widely studied in the context of blind source separation (BSS) and array signal processing, etc.
Gong, Xiao-Feng +2 more
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Blind Separation of Underwater Acoustic Signals [PDF]
, 2006 In last two decades, many researchers have been involved in acoustic tomography applications. Recently, few algorithms have been dedicated to the passive acoustic tomography applications in a single input single output channel. Unfortunately, most of these algorithms can not be applied in a real situation when we have a Multi-Input Multi-Output channel.
Ali Mansour +2 more
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Acoustic Echo and Noise Cancellation System for Hand-Free Telecommunication using Variable Step Size Algorithms [PDF]
, 2013 In this paper, acoustic echo cancellation with doubletalk detection system is implemented for a hand-free telecommunication system using Matlab. Here adaptive noise canceller with blind source separation (ANC-BSS) system is proposed to remove both ...
Chandra, M., Gupta, V. K., Sharan, S. N.
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Single-Channel Blind Signal Separation of the MHD Linear Vibration Sensor Based on Singular Spectrum Analysis and Fast Independent Component Analysis. [PDF]
Sensors (Basel), 2022 Xu M, Wang J, Mo J, Li X, Yang L, Ji F.
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Blind source separation by multilayer neural network classifiers for spectrogram analysis
Mechanical Engineering Journal, 2019 This paper describes a novel method for blind source separation using multilayer neural networks when an audio signal has been recorded in a room with reverberation or with moving signal sources.
Toshihiko SHIRAISHI, Tomoki DOURA
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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 +5 more
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Journal of Hebei University of Science and Technology, 2015 Aiming at fault diagnosis problems caused by complex machinery parts, serious background noises and the application limitations of traditional blind signal processing algorithm to the mechanical acoustic signal processing, a failure acoustic diagnosis ...
Zeguang YI, Nan PAN, Feng LIU
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Blind Signal Separation Methods for the Identification of Interstellar Carbonaceous Nanoparticles
, 2007 The use of Blind Signal Separation methods (ICA and other approaches) for the analysis of astrophysical data remains quite unexplored. In this paper, we present a new approach for analyzing the infrared emission spectra of interstellar dust, obtained ...
Berne, Olivier +2 more
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