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U. Glaeser

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24.7 Applications<br />

“DSP” has become a well-known acronym, often appearing explicitly in the marketing vernacular of<br />

commercial electronic products. The sphere of influence and relevance of DSP continues to expand,<br />

often enabling solutions that could only be speculated a decade earlier. Modern DSP applications areas<br />

include general purpose DSP (filtering, signal detection/classification, spectral analysis, adaptive filtering),<br />

instrumentation (waveform analysis, transient analysis), information/communication systems<br />

(speech, audio, voice over Internet, facsimile, modems, cellular telephones, wireless LANS), control<br />

systems (servos, disks, printers, automotive, guidance, vibration, power systems, robots), entertainment<br />

(sound, video, music), defense (radar, sonar, object recognition, ordinance) plus other areas such as<br />

biomedical, transportation, and geophysical signal processing.<br />

References<br />

1. Blahut, R. (1985). Fast Algorithms for Digital Signal Processing, Addison-Wesley, Reading, MA.<br />

2. Brown, S. and Varnesic, Z. (2000). Fundamental of Digital Logic with VHDL Design, McGraw-Hill,<br />

New York.<br />

3. Koren, I. (1993). Computer Arithmetic Algorithms, Prentice-Hall, Englewood Cliffs, NJ.<br />

4. Mitra, S. (2001). Digital Signal Processing, 2nd edition, McGraw-Hill, New York.<br />

5. Oppenheim, A., ed. (1978). Application of Digital Signal Processing, Prentice-Hall, Englewood Cliffs,<br />

NJ.<br />

6. Oppenheim, A. and Schafer, R. (1998). Discrete-Time Signal Processing, 2nd edition, Prentice-Hall,<br />

Englewood Cliffs, NJ.<br />

7. Taylor, F. (1983). Digital Filter Design Handbook, Marcel Dekker, New York.<br />

8. Taylor, F. and Mellott, J. (1998). Hands-On Digital Signal Processing, McGraw-Hill, New York.<br />

© 2001 by CRC Press LLC

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