This thesis presents algorithm and architecture for simultaneous diagonalization of matrices. As an example, a subspace-based speech enhancement problem is considered, where in the covariance matrices of the speech and noise are diagonalized simultaneously. In order to compare the system performance of the proposed algorithm, objective measurements of speech enhancement is shown in terms of the signal to noise ratio and mean bark spectral distortion at various noise levels. In addition, an innovative subband analysis technique for subspace-based time-domain constrained speech enhancement technique is proposed. The proposed technique analyses the signal in its subbands to build accurate estimates of the covariance matrices of speech and noise, exploiting the inherent low varying characteristics of speech and noise signals in narrow bands. The subband approach also decreases the computation time by reducing the order of the matrices to be simultaneously diagonalized. Further, architecture is proposed to implement the simultaneous diagonalization scheme. The architecture is implemented on a Xilinx FPGA. FPGA resource utilization re-enforces on the practicability of the design.
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Taschenbuch. Condition: Neu. Speech Enhancement: Algorithm and Architecture | Algorithm and Architecture for Simultaneous Diagonalization of Matrices Applied to Subspace-Based Speech Enhancement | Pavel Sinha | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | VDM Verlag Dr. Müller | EAN 9783639098372 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Seller Inventory # 101708001
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This thesis presents algorithm and architecture forsimultaneous diagonalization of matrices. As anexample, a subspace-based speech enhancement problemis considered, where in the covariance matrices ofthe speech and noise are diagonalized simultaneously.In order to compare the system performance of theproposed algorithm, objective measurements of speechenhancement is shown in terms of the signal to noiseratio and mean bark spectral distortion at variousnoise levels. In addition, an innovative subbandanalysis technique for subspace-based time-domainconstrained speech enhancement technique is proposed.The proposed technique analyses the signal in itssubbands to build accurate estimates of thecovariance matrices of speech and noise, exploitingthe inherent low varying characteristics of speechand noise signals in narrow bands. The subbandapproach also decreases the computation time byreducing the order of the matrices to besimultaneously diagonalized. Further, architecture isproposed to implement the simultaneousdiagonalization scheme. The architecture isimplemented on a Xilinx FPGA. FPGA resourceutilization re-enforces on the practicability of thedesign. Seller Inventory # 9783639098372
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