文件名称:12.11.Cichocki
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Cichocki教授的一些关于盲源分离的研究成果。内容主要在于盲源的提取。是一部分很好的内容。-Cichocki D.R,blind source separation,blind source extraction
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12.11.Cichocki\A dual-linear predictor approach to blind source extraction for noisy mixtures .pdf
..............\A Multiplicative Algorithm for Convolutive Non-Negative Matrix Factorization Based on Squared Euclidean Distance .pdf
..............\A Novel Blind Source Separation Algorithm Based on Projected Natural Gradient .pdf
..............\Analysis of environmental electromagnetic signal using nonnegative Matrix Factorization minimizing quasi-L1 norm.pdf
..............\Blind Extraction of Global Signal from.pdf
..............\Blind source extraction based on a linear predictor.pdf
..............\Blind source extraction using spatio-temporal inverse filter .pdf
..............\Blind Source Separation Based on Generalised Canonical Correlation Analysis and Its Adaptive Realization .pdf
..............\Complex Blind Source Extraction From Noisy Mixtures Using Second-Order Statistics .pdf
..............\Detecting the Number of Clusters in n-Way Probabilistic Clustering .pdf
..............\Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection .pdf
..............\Guest Editorial Special Section on Blind Signal Processing and Its Applications .pdf
..............\Improved FOCUSS Method With conjugate gradient iterations.pdf
..............\Multichannel spectral pattern separation - An EEG processing application.pdf
..............\Symmetric Nonnegative Matrix Factorization algorithm and application to probabilistic clustering.pdf
..............\When is non-negative matrix decomposition unique.pdf
12.11.Cichocki
..............\A Multiplicative Algorithm for Convolutive Non-Negative Matrix Factorization Based on Squared Euclidean Distance .pdf
..............\A Novel Blind Source Separation Algorithm Based on Projected Natural Gradient .pdf
..............\Analysis of environmental electromagnetic signal using nonnegative Matrix Factorization minimizing quasi-L1 norm.pdf
..............\Blind Extraction of Global Signal from.pdf
..............\Blind source extraction based on a linear predictor.pdf
..............\Blind source extraction using spatio-temporal inverse filter .pdf
..............\Blind Source Separation Based on Generalised Canonical Correlation Analysis and Its Adaptive Realization .pdf
..............\Complex Blind Source Extraction From Noisy Mixtures Using Second-Order Statistics .pdf
..............\Detecting the Number of Clusters in n-Way Probabilistic Clustering .pdf
..............\Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection .pdf
..............\Guest Editorial Special Section on Blind Signal Processing and Its Applications .pdf
..............\Improved FOCUSS Method With conjugate gradient iterations.pdf
..............\Multichannel spectral pattern separation - An EEG processing application.pdf
..............\Symmetric Nonnegative Matrix Factorization algorithm and application to probabilistic clustering.pdf
..............\When is non-negative matrix decomposition unique.pdf
12.11.Cichocki