A Tricks of the Trade Guidebook
Buch, Englisch, 496 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 746 g
ISBN: 978-1-118-27838-3
Verlag: Wiley
This book presents recent advances in DSP to simplify, or increase the computational speed of, common signal processing operations. The topics describe clever DSP tricks of the trade not covered in conventional DSP textbooks. This material is practical, real-world, DSP tips and tricks as opposed to the traditional highly-specialized, math-intensive, research subjects directed at industry researchers and university professors. This book goes well beyond the standard DSP fundamentals textbook and presents new, but tried-and-true, clever implementations of digital filter design, spectrum analysis, signal generation, high-speed function approximation, and various other DSP functions.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Preface xi
Contributors xiii
Part One Efficient Digital Filters
1. Lost Knowledge Refound: Sharpened FIR Filters 3
Matthew Donadio
2. Quantized FIR Filter Design Using Compensating Zeros 11
Amy Bell, Joan Carletta, and Kishore Kotteri
3. Designing Nonstandard Filters with Differential Evolution 25
Rainer Storn
4. Designing IIR Filters with a Given 3 dB Point 33
Ricardo A. Losada and Vincent Pellissier
5. Filtering Tricks for FSK Demodulation 43
David Shiung, Huei-Wen Ferng, and Richard Lyons
6. Reducing CIC Filter Complexity 51
Ricardo A. Losada and Richard Lyons
7. Precise Filter Design 59
Greg Berchin
8. Turbocharging Interpolated FIR Filters 73
Richard Lyons
9. A Most Effi cient Digital Filter: The Two-Path Recursive All-Pass Filter 85
Fred Harris
10. DC Blocker Algorithms 105
Randy Yates and Richard Lyons
11. Precise Variable-Q Filter Design 111
Shlomo Engelberg
12. Improved Narrowband Lowpass IIR Filters in Fixed-Point Systems 117
Richard Lyons
13. Improving FIR Filter Coeffi cient Precision 123
Zhi Shen
Part Two Signal and Spectrum Analysis Tricks
14. Fast, Accurate Frequency Estimators 137
Eric Jacobsen, Peter Kootsookos
15. Fast Algorithms for Computing Similarity Measures in Signals 147
James McNames
16. Effi cient Multi-tone Detection 157
Vladimir Vassilevsky
17. Turning Overlap-Save into a Multiband, Mixing, Downsampling Filter Bank 165
Mark Borgerding
18. Sliding Spectrum Analysis 175
Eric Jacobsen and Richard Lyons
19. Recovering Periodically Spaced Missing Samples 189
Andor Bariska
20. Novel Adaptive IIR Filter for Frequency Estimation and Tracking 197
Li Tan and Jean Jiang
21. Accurate, Guaranteed-Stable, Sliding DFT 207
Krzysztof Duda




