Digital Signal Processing and the Microcontroller

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9780130813480: Digital Signal Processing and the Microcontroller

Digital signal processing (DSP) is often treated as a complicated, theoretical subject. This book takes a friendly, informal approach, stressing the practical information needed to not just understand, but use DSP on real hardware, including microcontrollers. It is aimed at readers who might not have an background in signal processing, and it does not assume mathematics beyond algebra and trigonometry. Topics include digital filters, the Fast Fourier Transform (FFT), and generating special signals and functions. Familiarity with programming microprocessors is assumed. The Motorola MC68HC16 is used as an example of a microcontroller with DSP-specific features, and complete assembly language programs show how DSP is implemented on a real processor. Numerous cartoon illustrations by Jonathan Roth.

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From the Back Cover:


8134H-5

The friendly, intuitive approach to microcontroller-based DSP!

If you actually want to process signals — not just theorize about digital signal processing — this is the book for you. It's a friendly, informal guide to understanding — and implementing — digital signal processing with microcontrollers. You'll find enough theory to keep you on track (and a brief refresher on the basic math you'll need — with no calculus!) But the focus is on real-world applications, especially specifying, designing, and implementing digital filters, and using fast Fourier transform.

Coverage includes:

  • The big picture: What DSP can and cannot do.
  • Analog systems, signals and filters.
  • Discrete-time signals and systems.
  • FIR and IIR filters.
  • Microcontroller filter implementation.
  • Frequency analysis, correlation, sampling and signal synthesis.

Digital Signal Processing and the Microcontroller includes extensive examples and assembler code based on Motorola's powerful 16-bit M68HC16 microcontroller — and expert DSP insights you can use with any processor. Whether you have a formal electrical engineering background or not, it's all you need to get results with DSP fast.

The accompanying website contains extensive source code for the MC68HC16 microcontroller, including assembler code for DSP filters and other applications; a complete set of MC68HC16 documentation in PDF format; MATLAB m-files for selected examples, and more.

About the Author:

DALE GROVER designs and programs embedded systems at Red Cedar Electronics, and has been involved since 1982 in research and development of devices to aid individuals with communication disabilities. His articles have appeared in Midnight Engineering and Communication Outlook.

JOHN R. (JACK) DELLER, JR., PhD., is Professor of Electrical Engineering at Michigan State University, where he coordinates Communications and Signal Processing Research Laboratories and the related curriculum. He is a Fellow of the IEEE and the lead author of the text Discrete-Time Processing of Speech Signals (Prentice Hall).

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Grover, Dale; Deller, John
Editorial: Prentice Hall PTR
ISBN 10: 0130813486 ISBN 13: 9780130813480
Nuevos PAPERBACK Cantidad: 1
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BennettBooksLtd
(Covington, KY, Estados Unidos de America)
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Descripción Prentice Hall PTR. PAPERBACK. Estado de conservación: New. 0130813486 New. Looks like an interesting title, learn more! We provide domestic tracking upon request. We provide personalized customer service and want you to have a great experience purchasing from us. 100% satisfaction guaranteed and thank you for your consideration. Nº de ref. de la librería S-0130813486

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Grover, Dale, Deller, John
Editorial: Prentice Hall PTR (1998)
ISBN 10: 0130813486 ISBN 13: 9780130813480
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Descripción Prentice Hall PTR, 1998. Paperback. Estado de conservación: New. Never used!. Nº de ref. de la librería P110130813486

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3.

Dale Grover, John Deller
Editorial: Prentice Hall PTR (1998)
ISBN 10: 0130813486 ISBN 13: 9780130813480
Nuevos Paperback Cantidad: 1
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Ergodebooks
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Descripción Prentice Hall PTR, 1998. Paperback. Estado de conservación: New. Nº de ref. de la librería DADAX0130813486

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