Filter bank design for digital speech signal processing : methods and applications

TL;DRAbstract

Adaptive filter theory is an important subject in the field of signal processing and has numerous applications in speech processing, telecommunications and mechanical engineering. Examples in speech processing include suppression of background noise, echo cancellation and dereverberation (acoustic path equalization). Examples in telecommunications include channel equalization and interference cancellation. Subband filter banks are introduced in the area of adaptive filtering in order to improve the performance of time domain adaptive filters. The main performance improvements are faster convergence speed and reduction of computational complexity due to shorter adaptive filters in the subbands. The thesis deals with design and analysis of subband adaptive systems using subband filter banks, with applications in speech enhancement. Multirate subband filter banks often introduce signal degradations. Some of these degradations are inherent from the multirate building blocks and some are du

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