By Saeed V. Vaseghi
Chapter 1 advent (pages 1–28):
Chapter 2 Noise and Distortion (pages 29–43):
Chapter three likelihood versions (pages 44–88):
Chapter four Bayesian Estimation (pages 89–142):
Chapter five Hidden Markov types (pages 143–177):
Chapter 6 Wiener Filters (pages 178–204):
Chapter 7 Adaptive Filters (pages 205–226):
Chapter eight Linear Prediction types (pages 227–262):
Chapter nine strength Spectrum and Correlation (pages 263–296):
Chapter 10 Interpolation (pages 297–332):
Chapter eleven Spectral Subtraction (pages 333–354):
Chapter 12 Impulsive Noise (pages 355–377):
Chapter thirteen brief Noise Pulses (pages 378–395):
Chapter 14 Echo Cancellation (pages 396–415):
Chapter 15 Channel Equalization and Blind Deconvolution (pages 416–466):
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Extra info for Advanced Digital Signal Processing and Noise Reduction, Second Edition
WIENER N. (1949) Cybernetics. MIT Press, Cambridge, MA. A. A. (1963) Linear System Theory: The StateSpace Approach. McGraw-Hill, NewYork. Advanced Digital Signal Processing and Noise Reduction, Second Edition. Saeed V. 10 Thermal Noise Shot Noise Electromagnetic Noise Channel Distortions Modelling Noise oise can be defined as an unwanted signal that interferes with the communication or measurement of another signal. A noise itself is a signal that conveys information regarding the source of the noise.
At the transmitter, speech is segmented into blocks of about 30 ms long during which speech parameters can be assumed to be stationary. Each block of speech samples is analysed to extract and transmit a set of excitation and filter parameters that can be used to synthesis the speech. At the receiver, the model parameters and the excitation are used to reconstruct the speech. 11. The aim of transformation is to convert the signal into a form where it lends itself to a more convenient and useful interpretation and manipulation.
4 Time and frequency sketches of: (a) an ideal impulse, (b) and (c) shortduration pulses. 5 Illustration of variations of the impulse response of a non-linear system with the increasing amplitude of the impulse. 5 illustrates some examples of impulsive noise, typical of those observed on an old gramophone recording. In this case, the communication channel is the playback system, and may be assumed to be time-invariant. The figure also shows some variations of the channel characteristics with the amplitude of impulsive noise.