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

By Saeed V. Vaseghi

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Additional info for Advanced Signal Processing and Noise Reduction, 2nd Edition (Electrical Engineering & Applied Signal Processing Series)

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The drawback of these methods is that they do not utilise the distinct characteristics of the signal process that may lead to substantial 4 Introduction improvement in performance. Some examples of non−parametric methods include digital filtering and transform-based signal processing methods such as the Fourier analysis/synthesis relations and the discrete cosine transform. Some non−parametric methods of power spectrum estimation, interpolation and signal restoration are described in Chapters 9, 10 and 11.

1 Adaptive Noise Cancellation and Noise Reduction In speech communication from a noisy acoustic environment such as a moving car or train, or over a noisy telephone channel, the speech signal is observed in an additive random noise. In signal measurement systems the information-bearing signal is often contaminated by noise from its surrounding environment. 2 A classification of the applications of digital signal processing. where x (m) and n( m) are the signal and the noise, and m is the discretetime index.

15 Illustration of the pre-emphasis response of Dolby-C: upto 20 dB boost is provided when the signal falls 45 dB below maximum recording level. provides a maximum gain of 10 to 15 dB in each band if the signal level falls 45 dB below the maximum recording level. The Dolby B and Dolby C systems are designed for consumer audio systems, and use two bands instead of the four bands used in Dolby A. 15. 16 shows a simple diagram of a radar system that can be used to estimate the range and speed of an object such as a moving car or a flying aeroplane.

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