Titlebook: Digital Signal Processing in Communications Systems; Marvin E. Frerking Book 1994 Springer Science+Business Media New York 1994 Jitter.Pha

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Digital Algorithms for Communication Systems,rtant during the early days of digital signal processing, when hardware resources were very limited. Even in present day systems, real advantages can often be realized by recognizing the best algorithm.

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The European Security and Defence Policy Not quite so obvious is the increased use of digital speech, which is replacing analog voice transmission in many services. Also important is the increased use of digital data in telemetry applications and the use of digital data for image transmission (e.g., facsimile and video).

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Processing Complex Signals,hese complex signals often possess a frequency spectrum that is not realizable using real signals. A complex signal may have nonsymmetrical positive and negative frequency components, and this is often used to advantage. The concepts of complex signals are considerably different from those of real s

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Digital Algorithms for Communication Systems,amples of these are modulation, demodulation, detection, and frequency translation. Often, there are several ways in which a particular function can be implemented; however, one method may require less computation than another. It is important to recognize the many methods to reduce computation in a

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