By Ha H. Nguyen, Ed Shwedyk

ISBN-10: 0521876133

ISBN-13: 9780521876131

Conversation know-how has develop into pervasive within the sleek international, and ever extra advanced. targeting the main easy rules, this conscientiously paced, logically based textbook is filled with insights and illustrative examples, making this an excellent creation to fashionable electronic conversation. Examples with step by step options aid with the assimilation of theoretical principles, and MATLAB routines improve self belief in employing mathematical techniques to real-world difficulties. correct from the beginning the authors use the sign area method of supply scholars an intuitive believe for the modulation/demodulation strategy. After a overview of indications and random procedures, they describe middle themes and strategies reminiscent of resource coding, baseband transmission, modulation, and synchronization. The booklet closes with insurance of complicated subject matters resembling trellis-coding, CMDA, and space-time codes to stimulate additional examine. this can be an amazing textbook for an individual who desires to know about sleek electronic communique.

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**Additional resources for A First Course in Digital Communications**

**Sample text**

20) where it is assumed s(t) is continuous at t = t0 . The proof relies on the characteristics of the impulse function, is quite straightforward, and is left to the reader. , s(t)δ(t − t0 ) = s(t0 )δ(t − t0 ). 22) 1 δ(γ t) = δ(t), γ > 0. 23) Having presented a number of properties and introduced the impulse function it is time to consider examples. Because of properties 2 (change of interval) and 4 (time shift), in the examples the integration period is taken to be from −T/2 to T/2 with the signal “centered” at t = 0 to exploit any symmetry.

3 0 t Δ 2 (a) δ (t) = lim sΔ (t) Δ→ 0 t 0 t Δ 0 Δ t0 − t0 + 2 2 (b) Vδ (t – t0) = lim sΔ (t) Δ→ 0 Definition of the impulse function as the limit of a square pulse: (a) unit strength impulse at t = 0; (b) impulse of strength V at t = t0 . 20) it sifts out the value of s(t). 2(a). The Fourier coefficients are Dk = T/2 1 T −T/2 s(t)e−j2πkfr t dt = 1 T T/2 −T/2 Vδ(t)e−j2πkfr t dt = V . 24) Observe that a periodic train of impulses results in a Fourier series where the coefficient of each frequency is the same.

6 (rectified sinusoid). needed to pass the signal relatively undistorted or the number of terms needed to synthesize the signal. 13 compare graphically the synthesized signals using N terms with the actual sawtooth wave and the rectified sinusoid, respectively. 14. 5 t Fig. 12 0 −3 −2 −1 0 t Comparison of synthesized signals and the actual sawtooth wave: (a) actual sawtooth wave, (b) synthesized sawtooth wave N = 5; (c) synthesized sawtooth wave N = 10; (d) synthesized sawtooth wave N = 100. 6.

### A First Course in Digital Communications by Ha H. Nguyen, Ed Shwedyk

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