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 chance types (pages 44–88):
Chapter four Bayesian Estimation (pages 89–142):
Chapter five Hidden Markov versions (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 energy 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 info for Advanced Digital Signal Processing and Noise Reduction, Second Edition

Sample text

24), the sampling of a signal x(t) results in a periodic repetition of its spectrum X( f ) centred on frequencies 0, ± Fs , ± 2 Fs ,  . 19. In this case, the analog signal can be recovered by passing the sampled signal through an analog low-pass filter with a cut-off frequency of Fs. If the sampling frequency is less than 2Fs, then the adjacent repetitions of the spectrum overlap and the original spectrum cannot be recovered. The distortion, due to an insufficiently high sampling rate, is irrevocable and is known as aliasing.

W. (1992) Discrete Random Signals and Statistical Signal Processing. Prentice-Hall, Englewood Cliffs, NJ. L. (1971) Detection, Estimation and Modulation Theory. Parts I, II and III. Wiley New York. E. (1948) A Mathematical Theory of Communication. Bell Systems Tech. , 27, pp. 379–423, 623–656. S. (1979) Digital Signal Processing, Control and Estimation Theory: Points of Tangency, Areas of Intersection and Parallel Directions. MIT Press, Cambridge, MA. WIDROW B. (1975) Adaptive Noise Cancelling: Principles and Applications.

B. L. (1958) An Introduction to the Theory of Random Signals and Noise. McGraw-Hill, New York. EPHRAIM Y. (1992) Statistical Model Based Speech Enhancement Systems. Proc. IEEE, 80, 10, pp. 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.

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


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