Results 241 to 250 of about 27,220,972 (292)
Independent Components Analysis (ICA) at the “Cocktail-Party” in Analytical Chemistry [PDF]
Talanta, 2020 Independent components analysis (ICA) is a probabilistic method, whose goal is to extract underlying component signals, that are maximally independent and non-Gaussian, from mixed observed signals. Since the data acquired in many applications in analytical chemistry are mixtures of component signals, such a method is of great interest.
Douglas N Rutledge, Yulia B Monakhova
exaly +5 more sources
Robust Techniques for Independent Component Analysis (ICA) With Noisy Data
Neurocomputing, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shun'ichi Amari +2 more
exaly +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Independent Component Ordering in ICA Time Series Analysis
Neurocomputing, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly +4 more sources
Independent Vector Analysis: An Extension of ICA to Multivariate Components
Lecture Notes in Computer Science, 2006In this paper, we solve an ICA problem where both source and observation signals are multivariate, thus, vectorized signals. To derive the algorithm, we define dependence between vectors as Kullback-Leibler divergence between joint probability and the product of marginal probabilities, and propose a vector density model that has a variance dependency ...
Torbjörn Eltoft, Taesu Kim, Te-Won Lee
exaly +3 more sources
Journal of Archaeological Science, 2021
Abstract Independent Component Analysis (ICA) is a statistical technique for decomposing information from datasets into maximally independent components. ICA allows the researcher to recover two or more independent signals that appear mixed within the same dataset.
Marcela Sepúlveda +1 more
exaly +3 more sources
Abstract Independent Component Analysis (ICA) is a statistical technique for decomposing information from datasets into maximally independent components. ICA allows the researcher to recover two or more independent signals that appear mixed within the same dataset.
Marcela Sepúlveda +1 more
exaly +3 more sources
A novel measure for independent component analysis (ICA)
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 2002Measures of independence (and dependence) are fundamental in many areas of engineering and signal processing. Shannon introduced the idea of information entropy which has a sound theoretical foundation but sometimes is not easy to implement in engineering applications. In this paper, Renyi's entropy is used and a novel independence measure is proposed.
Dongxin Xu +3 more
openaire +1 more source
An alternative switching criterion for independent component analysis (ICA)
Neurocomputing, 2005In solving the problem of noiseless independent component analysis (ICA) in which sources of super- and sub-Gaussian coexist in an unknown manner, one can be lead to a feasible solution using the natural gradient learning algorithm with a kind of switching criterion for the model probability distribution densities to be selected as super- or sub ...
Dengpan Gao, Jinwen Ma, QianSheng Cheng
openaire +1 more source
Independent Component Analysis (ICA) for texture classification
2008 5th International Multi-Conference on Systems, Signals and Devices, 2008This paper presents a texture classification algorithm using independent component analysis (ICA). ICA is used for creating basis functions or basis images bank. These basis functions are used in texture classification because they are able to capture the inherent properties of textured images. These properties enable us to use the ICA bank to generate
Dia Abu Al Nadi, Ayman M. Mansour
openaire +1 more source
Fault detection in induction motors with independent component analysis (ICA)
2009 IEEE Bucharest PowerTech, 2009In this study, the aim is to detect an induction motor's winding faults by using independent component analysis (ICA). Many laboratory experiments have been done on an induction motor to check the performance of the proposed method. The phase currents of the induction motor are used in the fault detection algorithm.
Guney, Irfan +4 more
openaire +2 more sources