By Saeed V. Vaseghi
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Extra resources for Advanced Signal Processing and Noise Reduction, 2nd Edition (Electrical Engineering & Applied Signal Processing Series)
5(c) a large impulse excitation has generated a decaying transient pulse. These variations may be attributed to the non-linear characteristics of the playback mechanism. 6. 6 (a) A scratch pulse and music from a gramophone record. (b) The averaged profile of a gramophone record scratch pulse. 36 Noise and Distortion communication channel excited by the initial pulse, and may be considered as the response of the channel to the initial pulse. In a telecommunication system, a noise pulse originates at some point in time and space, and then propagates through the channel to the receiver.
In such cases the noise cannot be cancelled out, but it may be reduced, in an average sense, using the statistics of the signal and the noise process. 4 shows a bank of Wiener filters for reducing additive noise when only the Noisy signal y(m)=x(m)+n(m) Y(0) y(0) y(1) y(2) . . Discrete Fourier Transform W0 y(N-1) Signal and noise power spectra Y(1) Y(2) . . W1 W2 . . Y(N-1) WN -1 ^ X(0) ^ X(1) ^ X(2) ^ X(N-1) Inverse Discrete Fourier Transform Restored signal ^ x(0) ^ x(1) ^ x(2) . . 4 A frequency−domain Wiener filter for reducing additive noise.
Thermal noise is a white noise. 8) holds well up to very high 13 radio frequencies of 10 Hz.
Advanced Signal Processing and Noise Reduction, 2nd Edition (Electrical Engineering & Applied Signal Processing Series) by Saeed V. Vaseghi