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

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Prentice-Hall, Englewood Cliffs, NJ. L. (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.

Frequency content (bandwidth) of B Hz, can be recovered from its samples provided that the sampling speed Fs>2B samples per second. 20. 19. 20 A simplified sample-and-hold circuit diagram. 2 Quantisation For digital signal processing, continuous-amplitude samples from the sample-and-hold are quantised and mapped into n-bit binary digits. For quantisation to n bits, the amplitude range of the signal is divided into 2n discrete levels, and each sample is quantised to the nearest quantisation level, and then mapped to the binary code assigned to that level.

The analysis of the received echo provides such information as range, speed, and acceleration. 13) where A(t), the time-varying amplitude of the reflected wave, depends on the position and the characteristics of the target, r(t) is the time-varying distance of the object from the radar and c is the velocity of light. The time-varying distance of the object can be expanded in a Taylor series as r ( t ) = r0 + rt + 1 2 1 3 rt + rt +  2! 3! 14) where r0 is the distance, r is the velocity, r is the acceleration etc.

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