Digital Signal Processing: A Practical Guide for Engineers and Scientists (IDC Technology (Paperback)) - Softcover

Smith, Steven

Softcover

ISBN 10: 075067444X ISBN 13: 9780750674447

Verlag: Newnes, 2002

Inhaltsangabe

In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples.

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By Steven Smith

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• Covers all major DSP topics
• Full of insider information and shortcuts
• Basic techniques and algorithms explained without complex numbers

Written by a working scientist/engineer who has used DSP in his inventions and designs, Digital Signal Processing will help design engineers on the job trying to master a tough subject that is now regarded as an essential engineering skill and put it to use.

This immensely practical and thorough book has been written for engineers and scientists in a wide variety of fields, with the goal of explaining DSP techniques while avoiding the barriers of abstract theory and detailed mathematics, enabling readers to put the powerful tools of DSP to work in their research and designs. All techniques are explained through analogies, not simply proven to be true through mathematical derivations. The math is included where it is needed, but it is not used as the primary means of conveying the information. The illustrations are profuse and help to support the text in creative ways. Numerous detailed applications examples from many fields bring the theory to life. The coverage is thorough, detailed, and enlightening.

In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples.

Details zur Ausgabe

• Verlag: Newnes
• Erscheinungsdatum: 2002
• Sprache: Englisch
• ISBN 10: 075067444X
• ISBN 13: 9780750674447
• Einband: Taschenbuch
• Auflage: 3
• Anzahl der Seiten: 664
• Kontakt zum Hersteller: NEWNES; https://www.elsevier.com; ; Via Spadolini, 7; Milano; 20141; Italien