Results 31 to 40 of about 8,942 (181)
Stationary Points of a Kurtosis Maximization Criterion for Noisy Blind Source Extraction
IEEE Access, 2017 Blind source extraction (BSE) is often posed as the maximization of a statistical criterion under a unitary constraint. This paper addresses the convergence problem of a kurtosis-based criterion in the presence of noise.
Shanshan Lu, Wei Wang, Guoyu Wang
doaj +1 more source
Denoising Using Blind Source Separation for Pyroelectric Sensors
EURASIP Journal on Advances in Signal Processing, 2001 This paper deals with a process of denoising based on a Blind Source Separation (BSS) method. This technique is inserted in an experimental device of nondestructive testing. Its excitation is a laser beam and its detectors are pyroelectric sensors.
Huez Regis +2 more
doaj +1 more source
Short-Sampled Blind Source Separation of Rotating Machinery Signals Based on Spectrum Correction
Shock and Vibration, 2016 Nowadays, the existing blind source separation (BSS) algorithms in rotating machinery fault diagnosis can hardly meet the demand of fast response, high stability, and low complexity simultaneously.
Xiangdong Huang, Xukang Jin, Haipeng Fu
doaj +1 more source
The Application of Blind Source Separation to Feature Decorrelation and Normalizations [PDF]
, 2006 We apply a Blind Source Separation BSS algorithm to the decorrelation of Mel-warped cepstra. The observed cepstra are modeled as a convolutive mixture of independent source cepstra. The algorithm aims to minimize a cross-spectral correlation at different
Laura, Manuel
core
Performing Nonlinear Blind Source Separation with Signal Invariants
, 2009 Given a time series of multicomponent measurements x(t), the usual objective of nonlinear blind source separation (BSS) is to find a "source" time series s(t), comprised of statistically independent combinations of the measured components. In this paper,
Levin, David N.
core +1 more source
Sparsity constraints for hyperspectral data analysis: linear mixture model and beyond [PDF]
, 2009 The recent development of multi-channel sensors has motivated interest in devising new methods for the coherent processing of multivariate data. An extensive work has already been dedicated to multivariate data processing ranging from blind source ...
Bobin, J. +3 more
core +1 more source
Acta Ophthalmologica, EarlyView.Abstract Purpose To analyse pain sensation after phototherapeutic keratectomy (PTK) using chilled eye drops or drops at room temperature during the early postoperative period. Methods Our randomised controlled, parallel‐group study conducted in the Department of Ophthalmology, Goethe‐University, Frankfurt (Main), Germany, with blinded participants and ...
Carolin Marion Kolb‐Wetterau +7 more
wiley +1 more source
Precoding-Based Blind Separation of MIMO FIR Mixtures
IEEE Access, 2017 This paper focuses on the problem of blind separation of sources mixed by multi-input multi-output finite impulse response channels, which is also called convolutive blind source separation (BSS) in short. This problem has been intensively studied in the
Liu Yang, Yong Xiang, Dezhong Peng
doaj +1 more source
Underdetermined blind source separation based on Fuzzy C-Means and Semi-Nonnegative Matrix Factorization [PDF]
, 2012 Conventional blind source separation is based on over-determined with more sensors than sources but the underdetermined is a challenging case and more convenient to actual situation.
Alshabrawy, Ossama S. +3 more
core +1 more source
A convex analysis based criterion for blind separation of non-negative sources [PDF]
[[abstract]]In this paper, we apply convex analysis to the problem of blind source separation (BSS) of non-negative signals. Under realistic assumptions applicable to many real-world problems such as multichannel biomedical imaging, we formulate a new ...
Chan,Tsung-Han +3 more
core +1 more source