Advanced Digital Signal Processing and Noise Reduction, by Saeed V. Vaseghi PDF

By Saeed V. Vaseghi

ISBN-10: 0470841621

ISBN-13: 9780470841624

ISBN-10: 0471626929

ISBN-13: 9780471626923

Content material:
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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Additional resources for Advanced Digital Signal Processing and Noise Reduction, Second Edition

Example text

1 Introduction Noise may be defined as any unwanted signal that interferes with the communication, measurement or processing of an information-bearing signal. Noise is present in various degrees in almost all environments. For example, in a digital cellular mobile telephone system, there may be several variety of noise that could degrade the quality of communication, such as acoustic background noise, thermal noise, electromagnetic radio-frequency noise, co-channel interference, radio-channel distortion, echo and processing noise.

1526–1555. G. (1963) Theory of Motion of Heavenly Bodies. Dover, New York. G. (1968) Information Theory and Reliable Communication. Wiley, New York. HAYKIN S. (1991) Adaptive Filter Theory. Prentice-Hall, Englewood Cliffs, NJ. HAYKIN S. (1985) Array Signal Processing. Prentice-Hall, Englewood Cliffs, NJ. KAILATH T. (1980) Linear Systems. Prentice Hall, Englewood Cliffs, NJ. E. (1960) A New Approach to Linear Filtering and Prediction Problems. Trans. of the ASME, Series D, Journal of Basic Engineering, 82, pp.

The low-pass filter removes out–of–band signal frequencies above a pre-selected range. The sample– and–hold (S/H) unit periodically samples the signal to convert the continuous-time signal into a discrete-time signal. The analog–to–digital converter (ADC) maps each continuous amplitude sample into an n-bit digit. 18. 1 Time-Domain Sampling and Reconstruction of Analog Signals The conversion of an analog signal to a sequence of n-bit digits consists of two basic steps of sampling and quantisation.

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