Download e-book for iPad: Advanced Digital Signal Processing and Noise Reduction, by Saeed V. Vaseghi

By Saeed V. Vaseghi

ISBN-10: 0470841621

ISBN-13: 9780470841624

ISBN-10: 0471626929

ISBN-13: 9780471626923

Content material:
Chapter 1 creation (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 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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Content material: bankruptcy 1 advent (pages 1–28): bankruptcy 2 Noise and Distortion (pages 29–43): bankruptcy three chance types (pages 44–88): bankruptcy four Bayesian Estimation (pages 89–142): bankruptcy five Hidden Markov types (pages 143–177): bankruptcy 6 Wiener Filters (pages 178–204): bankruptcy 7 Adaptive Filters (pages 205–226): bankruptcy eight Linear Prediction versions (pages 227–262): bankruptcy nine strength Spectrum and Correlation (pages 263–296): bankruptcy 10 Interpolation (pages 297–332): bankruptcy eleven Spectral Subtraction (pages 333–354): bankruptcy 12 Impulsive Noise (pages 355–377): bankruptcy thirteen brief Noise Pulses (pages 378–395): bankruptcy 14 Echo Cancellation (pages 396–415): bankruptcy 15 Channel Equalization and Blind Deconvolution (pages 416–466):

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Extra resources for Advanced Digital Signal Processing and Noise Reduction, Second Edition

Sample text

Therefore noise at high frequencies is more audible and less masked by the signal energy. Dolby noise reduction systems broadly work on the principle of emphasising and boosting the low energy of the high–frequency signal components prior to recording the signal. When a signal is recorded it is processed and encoded using a combination of a pre-emphasis filter and dynamic range compression. At playback, the signal is recovered using a decoder based on a combination of a de-emphasis filter and a decompression circuit.

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L. (1991) Statistical Signal Processing: Detection, Estimation, and Time Series Analysis. Addison Wesley, Reading, MA. 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.

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


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