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Advanced Signal Processing and Noise Reduction, 2nd Edition by Saeed V. Vaseghi

By Saeed V. Vaseghi

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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. (1980) Linear Systems. Prentice Hall, Englewood Cliffs, NJ. E. (1960) A New Approach to Linear Filtering and Prediction Problems.

The encoder and decoder must be well matched and cancel out each other in order to avoid processing distortion. Dolby has developed a number of noise reduction systems designated Dolby A, Dolby B and Dolby C. These differ mainly in the number of bands and the pre-emphasis strategy that that they employ. Dolby A, developed for professional use, divides the signal spectrum into four frequency bands: band 1 is low-pass and covers 0 Hz to 80 Hz; band 2 is band-pass and covers 80 Hz to 3 kHz; band 3 is high-pass and covers above 3 kHz; and band 4 is also high-pass and covers above 9 kHz.

The received noise is time-dispersed and shaped by the channel, and can be considered as the channel impulse response. In general, the characteristics of a communication channel may be linear or non-linear, stationary or time varying. Furthermore, many communication systems, in response to a largeamplitude impulse, exhibit a non-linear characteristic. 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.

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