Communication Systems and Techniques - download pdf or read online

By Mischa Schwartz

ISBN-10: 0780347153

ISBN-13: 9780780347151

An introductory, graduate-level examine glossy communications ordinarily and radio communications specifically. This seminal presentation of the purposes of verbal exchange concept to sign and receiver layout brings you necessary insights into the basic innovations underlying present day communications platforms, in particular instant communications.Coverage comprises: AM, FM section Modulation, PCM, fading, and variety receivers.This is a vintage reissue of a e-book released by means of McGraw Hill in 1966.

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1-6-4. Hilbert-transform relatime. This is apparent from the fact that tions for a random process. since Rz('1') is even in '1', "R:t('1') must be odd, or "R:t(O) = o. This fact will be particularly useful in rederiving the envelope statistics of noise, using the Hilbert-transform formulation. d. (1-6-26) (1-6-27) Here Rt('1') represents the autocorrelation function of the analytic signal or preenvelope z(t) = x(t) + j£(t) (1-6-28) The proof of Eq. (1-6-26) follows directly from the definition of R,('1') as the ensemble average (z*(t)z(t + '1'».

It is then apparent, as indicated in Eq. (1-6-16a), that z = uei wot is the desired analytic signal or preenvelope of vet), and that Izi = lui = V x 2 + y2, in agreement with the result of Sec. 4 and Eq. 1-7-2. Note again, however, that the requirement on x and y is solely that B ~ fo, rather than the "narrowband" condition B «f0 specified previously. The resolution of an arbitrary band-limited signal vet) into the "narrowband" form of Eq. (1-7-7) is readily accomplished using phasor notation. For, writing z = uejwot = v + jf; with u = x + jy we have u = ze- jwot Equating real and imaginary parts we find x(t) = vet) cos wot + vet) sin wot yet) = v cos wot - v sin wot (1-7-8) (1-7-9) The choice of "carrier frequency" fo is perfectly arbitrary, subject only to the limitation that B ~ fo, with B the bandwidth of u(t) [or x(t) and yet)].

This is again apparent from the frequency description of the Hilbert transform or by noting from Parseval's theorem that J-.. and J-.. JJ- = [f(t»)' dt = Zl(t) dt 5. Orthogonality. J-.. IX(CoI)11 df 11(CoI)I' df = z(t)f(t) dt f-.. IX(CoI) II df =0 (1-6-15) A function and its Hilbert transform are thus orthogonal to one another. also easily proven by invoking the Parseval theorem f-.. x(t)f(t) dt J-.. ) 6. Band-limited signals. Consider a signal v(t) given in the form v(t) = x(t) cos wot - y(t) sin e"ot (1-6-16) With z and y Blowly varying, this is the narrowband-signal representation used in Sec.

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Communication Systems and Techniques by Mischa Schwartz

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