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.
- Mixed media product | 544 pages
- 184.4 x 242.8 x 28.4mm | 1,154.53g
- 11 Aug 1998
- Pearson Education (US)
- Prentice Hall
- Upper Saddle River, United States
Back cover copy
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.
Table of contents
Preface to the Second Edition. Preface. 1. The Big Picture. Overview. What is DSP? What Can It Do? DSP Versus Analog Electronics-Why Bother? DSP and Microcontrollers. Limitations of DSP. Why DSP Might Look Difficult. Summary. Resources.2. Analog Signals and Systems. Overview. Sources of Analog Signals. Describing Signals and Systems in Time and Frequency. Nonelephant Biology and Linear, Time-Invarient Systems. Summary. Resources.3. Analog Filters. Overview. Purpose of Filters. Examples. Ideal Versus Real Filters. Filter Specification. Analog Filter Implementation. Poles and Zeros. Filter Order. Summary. Resources.4. Discrete-Time Signals and Systems. Overview. Sources of Discrete-Time and Digital Signals. Describing Discrete-Time Signals and Systems. Quantizing-Continuous to Discrete Amplitude Values. Analog-to-Digital and Digital-to-Analog Conversion. Digital Filters, an Overview. Summary. Resources.5. FIR Filters-Digital Filters Without Feedback. FIR Overview. Intuitive Convolution-How FIR Filters Work. Design Process Overview. Generating Coefficients. Lowpass-to-Highpass Conversion. Structures for FIR Filters. Summary. Resources.6. IIR Filters-Digital Filters with Feedback. Overview. Design Process Overview. Direct Design Methods. Indirect Design Methods. Highpass, Bandpass, and Bandstop Conversions. IIR Filter Structures. Summary. Resources.7. Microcontroller Implementation of Filters. Overview. Architecture Issues. Programming Issues. Finite Word-Length Effects. FIR Filter Implementation. IIR Filter Implementation. Summary. Resources.8. Frequent Analysis. Overview. What Do You Want? The Discrete Fourier Transform and Fast Fourier Transform. Using the DFT. Implementing the DFT. Implementation of the FFT on the 68HC16. The Inverse DFT/FFT. Time-Frequency Analysis. Miscellaneous Topics. Summary. Resources.9. Correlation. Overview. Crosscorrelation. Autocorrelation. Pseudo-Noise (PN) Signals. Signal Averaging. Summary. Resources.10. Changing Sampling Rates. Overview. Applications. Decimation. Interpolation. Rational Interpolation/Decimation. Summary. Resources.11. Synthesizing Signals. Overview. Random Numbers. Functions. Summary. Resources.12. Parting Words. Signals and Linear Systems. Math. Processing Multidimensional Signals. Processing Music. Processing Speech. Numerical Methods. Embedded Systems. Summary.Appendix 1: Useful Mathematics. Appendix 2: Useful Electronics. Appendix 3: 68HC16 Sample FIR Program. Appendix 4: 68HC16 Sample IIR Program. Appendix 5: 68HC16 Sample Interpolation Program. Glossary. Index.