Results 81 to 90 of about 5,521,232 (198)

Blind Source Separation Using Time-Delayed Dynamic Mode Decomposition

Computation
Blind Source Separation (BSS) is a significant field of study in signal processing, with many applications in various fields such as audio processing, speech recognition, biomedical signal analysis, image processing and communication systems. Traditional
Gyurhan Nedzhibov
doaj   +1 more source

Heuristics in blind source separation

, 2018
This paper deals with application of heuristic algorithms (DEBR, MCRS) in blind source separation (BSS). BSS methods focus on a separation of the (source) signal from a linear mixture.
Kautský, Václav
core  

Blind Source Separation Based on Multistage ICA Using Frequency-Domain ICA and Time-Domain ICA [PDF]

, 2002
We propose a new algorithm for blind source separation (BSS), in which frequency-domain independent component analysis (FDICA) and time-domain ICA (TDICA) are combined to achieve a superior source-separation performance under reverberant conditions.
Saruwatari, Hiroshi, Shikano, Kiyohiro, 12125, 12124, Nishikawa, Tsuyoki, 12126   +5 more
core   +1 more source

TA : Implementasi Blind Source Separation (BSS) untuk Denoising Sinyal PCG (Phonocardiogram) [PDF]

, 2017
Adanya hasil sinyal PCG dari pasien yang direkam, membantu ahli medis dapat mendengar kembali, menganalisis dan mengolah data tersebut sesuai dengan kebutuhan.
Nizar, M.
core  

Subspace identification through blind source separation

, 2006
Given a linear and instantaneous mixture model, we prove that for blind source separation (BSS) algorithms based on mutual information, only sources with non-Gaussian distribution are consistently reconstructed independent of initial conditions.
Grosse-Wentrup, M., Buss, M., M. Buss, M. Grosse-Wentrup   +3 more
core   +1 more source

Separability of Analytic Postnonlinear Blind

, 2004
The aim of blind source separation (BSS) is to transform a mixed random vector such that the original sources are recovered. If the sources are assumed to be statistically independent, independent component analysis (ICA) can be applied to perform BSS.
P. Gruber, Source Separation With, F. J. Theis   +2 more
core  

Equivalence between Frequency Domain Blind Source Separation and Adaptive Beamforming [PDF]

, 2002
Frequency domain Blind Source Separation (BSS) is shown to be equivalent to two sets of Adaptive Beamformers (ABFs). The minimization of the off-diagonal components in the BSS update equation can be viewed as the minimization of the mean square error in ...
Araki, Shoko, 12119, Saruwatari, Hiroshi, 12121, 12120, 12123, Hinamoto, Yoichi, 12122, Mukai, Ryo, Makino, Shoji, Nishikawa, Tsuyoki, 12118   +11 more
core  

A Modified JadeR for Signal Separation under Gaussian Noise

Journal of Kufa for Mathematics and Computer, 2019
A Modified version of Joint Approximation Diagonalization Estimation of Real Signals algorithm (JADER) is proposed to enhance efficiency and speed of Blind Signal Separation (BSS).
Muna H. Fatnan, Zahir M. Hussain, Hind R. Mohammed   +2 more
doaj   +1 more source

Adaptive methods for score function modeling in blind source separation [PDF]

, 2002
In signal processing and related fields, multichannel measurements are often encountered. Depending on the application, for instance, multiple antennas, multiple microphones or multiple biomedical sensors are used for the data acquisition.
Karvanen, Juha
core   +1 more source

Frequency domain blind source separation

, 2004
Blind source separation (BSS) has attracted dramatic research interests in the past decade due to its potential applications in signal processing, telecommunications, and medical imaging.
Wang, W, Chambers, J, J. Chambers, Wenwu Wang   +3 more
core   +1 more source