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Problem 8.36 The power spectral density of a random process X(t) is shown in Fig. 8.27. (a) Determine and sketch the autocorrelation function RX(\u3c4) of the X(t). (b) What is the dc power contained in X(t)? (c) What is the ac power contained in X(t)? (d) What sampling rates will give uncorrelated samples of X(t)? Are the samples statistically independent? Solution (a) Using the results of Problem 8.35, and the linear properties of the Fourier transform ( ) ( )\u3c4\u3c4 0221 sinc1 fR += (b) The dc power is given by power centered on the origin 1 )(lim )(limpower 0 0 = = = \u222b \u222b \u2212\u2192 \u2212\u2192 \u3b5 \u3b5\u3b5 \u3b5 \u3b5\u3b4 \u3b4 dff dffSdc X (c) The ac power is the total power minus the dc power 2 1 1)0( power)0( = \u2212= \u2212= X X R dcRpowerac (d) The correlation function RX(\u3c4) is zero if samples are spaced at multiples of 1/f0. Excerpts from this work may be reproduced by instructors for distribution on a not-for-profit basis for testing or instructional purposes only to students enrolled in courses for which the textbook has been adopted. Any other reproduction or translation of this work beyond that permitted by Sections 107 or 108 of the 1976 United States Copyright Act without the permission of the copyright owner is unlawful. page\u20268-46