University of Khartoum

Blind Signal Separation

Blind Signal Separation

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Title: Blind Signal Separation
Author: Almoula, Roaa Mohammed Al-Fateh Fadl
Abstract: One of the requirements in the field of signal processing is to identify an information signal from a mixture of incoming signals. The input signal is assumed to be a mixture of more than one information signals. This thesis addresses the blind signal separation (BSS) problem. The case of speech signals was considered. For the efficient separation of speech signals from a mixture of multiple speech signals, a two level signal scheme was proposed. In the first step, a mixture process was modeled. In the second level, a blind source separation algorithm was used to separate the independent source signals. The results for this problem were presented to support the proposed theory of the study. One of the goals of this thesis is to provide insight on some advances in algorithms, which are ideally suited for blind signal separation of speech mixtures. More importantly, specific emphasis is given in practical applications of the developed BSS algorithms associated with real-life scenarios.
URI: http://khartoumspace.uofk.edu/handle/123456789/18544
Date: 2011


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