By Saeed V. Vaseghi
Sign processing performs an more and more crucial position within the improvement of contemporary telecommunication and knowledge processing platforms, with quite a lot of purposes in parts resembling multimedia know-how, audio-visual sign processing, mobile cellular verbal exchange, radar structures and fiscal info forecasting. the idea and alertness of sign processing offers with the identity, modelling and utilisation of styles and buildings in a sign approach. The statement signs are frequently distorted, incomplete and noisy and accordingly, noise aid and the elimination of channel distortion is a crucial a part of a sign processing procedure. complex electronic sign Processing and Noise relief, 3rd variation, offers a completely up-to-date and based presentation of the speculation and functions of statistical sign processing and noise relief equipment. Noise is the everlasting bane of communications engineers, who're continuously striving to discover new how one can increase the signal-to-noise ratio in communications structures and this source may also help them with this job.
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Extra info for Advanced Digital Signal Processing and Noise Reduction
The main sources of electromagnetic interference in mobile communications systems are the radiations from the antennas of other mobile phones and base stations. The electromagnetic interference by mobile users and base stations can be reduced by the use of narrow-beam adaptive antennas, the so-called ‘smart antennas’, as described in Chapter 17.
Y. (1993) Digital Neural Networks. Prentice-Hall, Englewood Cliffs, NJ. L. (1987) Digital Spectral Analysis with Applications. Prentice-Hall, Englewood Cliffs, NJ. V. W. (1989) Discrete-Time Signal Processing. Prentice-Hall, Englewood Cliffs, NJ. , Ling F. L. (1992) Advanced Signal Processing. Macmillan, New York. R. and Gold B. (1975) Theory and Applications of Digital Processing. Prentice-Hall, Englewood Cliffs, NJ. R. W. (1978) Digital Processing of Speech Signals. Prentice-Hall, Englewood Cliffs, NJ.
5 illustrates some examples of impulsive noise, typical of that observed on an old gramophone recording. In this case, the communication channel is the playback system, and may be assumed to be time-invariant. The figure also shows some variations of the channel characteristics with the amplitude of impulsive noise. 5(c) a large impulse excitation has generated a decaying transient pulse with time-varying period. These variations may be attributed to the nonlinear characteristics of the playback mechanism.
Advanced Digital Signal Processing and Noise Reduction by Saeed V. Vaseghi