Gaussian moments for noisy unifying model

Neurocomputing

Volumn 71, Issue 16-18, 2008, Pages 3656-3659

  Yang, Yumin ^a,b   Guo, Chonghui ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b ANSHAN NORMAL UNIVERSITY   (China)

Author keywords

Autocorrelations; Blind source separation; Gaussian moments; Independent component analysis; Nonstationary variance

Indexed keywords

BLIND SOURCE SEPARATION; COMPUTATIONAL METHODS; COVARIANCE MATRIX; DATA STRUCTURES; GAUSSIAN DISTRIBUTION; HEMODYNAMICS; INDEPENDENT COMPONENT ANALYSIS; MODAL ANALYSIS; MULTIVARIANT ANALYSIS; NEURAL NETWORKS; TRELLIS CODES;

AUTOCORRELATIONS; DATA MODELS; GAUSSIAN; GAUSSIAN MOMENTS; GAUSSIAN NOISES; GRADIENT ASCENT ALGORITHMS; INDEPENDENT COMPONENTS; NOISE COVARIANCE MATRIXES; NOISE COVARIANCES; NONSTATIONARY VARIANCE; TIME DEPENDENTS; TO ESTIMATIONS; USEFUL PROPERTIES;

MAXIMUM LIKELIHOOD ESTIMATION;

ALGORITHM; COMPUTER SIMULATION; CONFERENCE PAPER; COVARIANCE; INDEPENDENT COMPONENT ANALYSIS; NOISE; NORMAL DISTRIBUTION; PRIORITY JOURNAL; STATISTICAL MODEL;

EID: 53049106679     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.03.005     Document Type: Conference Paper

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