Analog-digital conversion techniques by Susskind A.K. (ed.)

By Susskind A.K. (ed.)

These notes from distinctive extensive summer time courses on Analog-Digital conversion held at MIT from 1956-1957 concentrate on difficulties created while electronic gear is associated with actual structures. A "language" challenge arises, for the language of the information-processing apparatus is electronic and the language of conversation within the remainder of the method is sort of continually within the kind of electric signs or mechanical displacements analogous the the actual parameters concerned. hence, there's a desire for units to accomplish the language translation. units taht practice analog-to-digital conversion are referred to as coders, and units that practice digital-to-analog conversion are referred to as decoders.The subject material is split itno 3 components. the 1st half relates to structures points of electronic details processing that effect the requisites for analog-to-digital and digital-to-analog conversion units. within the moment half, an in depth engineering research and overview of various conversion units is gifted. The 3rd half is dedicated to a case research according to improvement paintings performed on the Servomechanisms Laboratory of the MIT division of electric Engineering.

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IXCf)1 = IX( - f)1 3. ¢(f) 1 b. ~(o:x(t) where 2. = -¢( - f) 0: + f3y(t)) = o:X(f) + f3Y(f) and f3 are constants. 3-4) is the delay. 3. 3-5) a is a constant. 4. 3-6) 5. Differentiation Theorem ff [dnX(t)] dt n = (2nift X(f) assuming that x(t) is differentiable n times. 3-7) 28 SIGNAL PROCESSING: SIGNALS, FILTERING, AND DETECTION 6. Integration Theorem fF 7. (I t -00 x(r) d. 3-9) Y(f) = fF(y(t)) and * stands for the complex conjugate. 8. Energy Theorem E = 9. )e-i21tft dt d. )e- i21tf< d. = X(f)Y(f) f: y(v)e-i21tvf dv • SIGNALS.

3. SINUSOIDAL SIGNAL. c is called the carrier frequency; A is called the amplitude; and r/J is called the phase of the signal. ct dt - -1 sin r/J ToT =0 The covariance of the signal is fT sin 27ifct dt 0 34 SIGNAL PROCESSING: SIGNALS. FILTERING. fc T = 2. ) is a Dirac delta function. ) are shown in Fig. 3-1. 4. fct Find Y(f). [y(t)] = .? 3-1. f Autocorrelation and power spectral density. 1. c)] using Eg. 3-6). c. Laplace Transform Definition. f(f(t)) is called the (one sided) Laplace transform of f(t).

The correlation methods, known as integrate and dump filters, are used to detect signals. 2. Let the signal be x(t) = e- at cos bt, Find the amplitude and phase spectra. Solution g;[x(t)] = = Loo e- at cos bte- i2 1

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