Results 61 to 70 of about 1,313 (162)

Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp

Journal of Statistical Software, 2017
Blind source separation (BSS) is a well-known signal processing tool which is used to solve practical data analysis problems in various fields of science. In BSS, we assume that the observed data consists of linear mixtures of latent variables.
Jari Miettinen, Klaus Nordhausen, Sara Taskinen   +2 more
doaj   +1 more source

Logatom articulation index evaluation of speech enhanced by blind source separation and single-channel noise reduction

Archives of Acoustics, 2008
The subjective logatom articulation index of speech signals enhanced by means of various digital signal processing methods has been measured. To improve intelligibility, the convolutive blind source separation (BSS) algorithm by Parra and
Szymon DRGAS, Jędrzej KOCIŃSKI, Aleksander P. SĘK   +2 more
doaj  

Concepts and Criteria for Blind Quantum Source Separation and Blind Quantum Process Tomography

Entropy, 2017
Blind Source Separation (BSS) is an active domain of Classical Information Processing, with well-identified methods and applications. The development of Quantum Information Processing has made possible the appearance of Blind Quantum Source Separation ...
Alain Deville, Yannick Deville
doaj   +1 more source

Blind multiuser detection based on instantaneous mixtures

Tongxin xuebao, 2008
A blind multiuser detection technique used in multiple-input multiple-output orthogonal frequency division multiplexing （MIMO-OFDM） systems was proposed.
ZHAO Chen, GOU Bin, WANG Ke
doaj   +2 more sources

Design of Low-Cost FPGA Hardware for Real-time ICA-Based Blind Source Separation Algorithm

EURASIP Journal on Advances in Signal Processing, 2005
Blind source separation (BSS) of independent sources from their convolutive mixtures is a problem in many real-world multisensor applications. In this paper, we propose and implement an efficient FPGA hardware architecture for the realization of a real ...
Charoensak Charayaphan, Sattar Farook
doaj   +1 more source

A classifier-deduced signal extraction approach for time difference estimation in acoustic sensor networks

Ecological Informatics
With the development of reliable AI-based species classifiers and the design of low-cost autonomous recording units, acoustic monitoring has become an emerging research field.
Leonhard Brüggemann, Mario Dyczka, Daniel Otten, Nils Aschenbruck   +3 more
doaj   +1 more source

Air pollution prediction using blind source separation with Greylag Goose Optimization algorithm

Frontiers in Environmental Science
Particularly, environmental pollution, such as air pollution, is still a significant issue of concern all over the world and thus requires the identification of good models for prediction to enable management.
Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, Marwa M. Eid, El-Sayed M. El-Kenawy, El-Sayed M. El-Kenawy   +7 more
doaj   +1 more source

Diagnosis of Roller Bearings Compound Fault Using Underdetermined Blind Source Separation Algorithm Based on Null-Space Pursuit

Shock and Vibration, 2015
In order to solve the problem of underdetermined blind source separation (BSS) in the diagnosis of compound fault of roller bearings, an underdetermined BSS algorithm based on null-space pursuit (NSP) was proposed.
Lingli Cui, Chunguang Wu, Chunqing Ma, Huaqing Wang   +3 more
doaj   +1 more source

Separación ciega de fuentes no-determinada aplicada a mezclas de voz con base en la transformada wavelet discreta Undetermined blind source separation of speech mixtures based on discrete wavelet transform

Ingeniare: Revista Chilena de Ingeniería, 2012
La separación ciega de fuentes, conocida como BSS por sus siglas en inglés (Blind Source Separation), es una técnica de procesamiento de señales que consiste en estimar fuentes en señales mezcladas linealmente, utilizando métodos como el ICA, para ...
Camilo Andrés Lemus, Dora María Ballesteros   +1 more
doaj  

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