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Saeed V. Vaseghi's Advanced digital signal processing and noise reduction PDF

By Saeed V. Vaseghi

ISBN-10: 0471626929

ISBN-13: 9780471626923

Complicated electronic sign Processing and Noise relief, 3rd variation, offers a completely up-to-date and established presentation of the idea and purposes of statistical sign processing and noise aid tools. Noise is the everlasting bane of communications engineers, who're constantly striving to discover new how you can increase the signal-to-noise ratio in communications structures and this source can help them with this activity. this can be a useful textual content for senior undergraduates, postgraduates and researchers within the fields of electronic sign processing, telecommunications and statistical info research. it is going to additionally attract engineers in telecommunications and audio and sign processing industries.

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Extra resources for Advanced digital signal processing and noise reduction

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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. MIT Press, Cambridge, MA. WIDROW B. (1975) Adaptive Noise Cancelling: Principles and Applications. Proc. IEEE, 63, pp. 1692-1716. WIENER N. (1948) Extrapolation, Interpolation and Smoothing of Stationary Time Series.

3 Coloured Noise Although the concept of white noise provides a reasonably realistic and mathematically convenient and useful approximation to some predominant noise processes encountered in telecommunication systems, many other noise processes are non-white. The term coloured noise refers to any broadband noise with a non-white spectrum. For example most audiofrequency noise, such as the noise from moving cars, noise from computer fans, electric drill noise and people talking in the background, has a nonwhite predominantly low-frequency spectrum.

11) where c is the speed of propagation of the wave in the medium. 12) where T0 is the period of the sine wave. By inserting appropriate corrective Array of sensors Array of filters 0 ... z –1 z –1 W1,1 W1,0 θ d W1,P–1 Inciden t plane wa ve + 1 ... z –1 d sinθ z –1 W2,1 W 2,0 W2,P–1 + Output . . . N-1 ... 14 Illustration of a beam-former, for directional reception of signals. 18 Introduction time delays in the path of the samples at each sensor, and then averaging the outputs of the sensors, the signals arriving from the direction θ will be timealigned and coherently combined, whereas those arriving from other directions will suffer cancellations and attenuations.

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Advanced digital signal processing and noise reduction by Saeed V. Vaseghi


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