Synopsis
Theory.- BSS algorithms using Second order and Higher Order statistics.- Sparse BSS methods.- Convolutive BSS.- Source Localisation.- Under complete BSS.- Over complete BSS.- Semi blind BSS methods.- Source Separation and Identification issues.- Unknown number of source separation using BSS.- Application.- BSS for Image processing applications.- Biomedical application of BSS.- BSS applications of Electromyography (EMG).- BSS applications of Electroencephalography (EEG).- BSS applications of Electrocardiography (ECG).- Artefact removal of biomedical data using BSS.- Source localisation of Audio and Bio signals.- Source separation and identification issued in Audio and Bio signals.- Over complete BSS for Audio and Bio signals.- Under complete BSS for Audio and Bio signals.- BSS for Music separation.- Source separation in retinal and MRI imaging applications.- Semi blind BSS for Audio and Biomedical data.- Analysis of Heart rate analysis using BSS.- Comparison of real word audio and bio signals with synthetic data using BSS.- BSS for financial and economics applications.- BSS for moving source separation.
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