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This book focuses on speech signal phenomena, presenting a robustification of the usual speech generation models with regard to the presumed types of excitation signals, which is equivalent to the introduction of a class of nonlinear models and the corresponding criterion functions for parameter estimation.
Boasting a wealth of experimental results and algorithms as well as a clear exposition of the mathematical background, this introduction to adaptive digital filtering guides the reader from the theoretical fundamentals to real-life technical applications.
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