book

Digital Signal Processing: World Class Designs

by Kenton Williston

March 2009

Intermediate to advanced

480 pages

14h 4m

English

Newnes

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1.1. Coding and Quantizing1.2. Sampling Theory1.3. Data Converter AC Errors1.4. General Data Converter Specifications1.5. Defining the SpecificationsReferencesBibliography
2.1. Chapter Preview2.2. Analog Signal Processing2.3. An Alternative Approach2.4. The Complete DSP System2.5. Recap2.6. Digital Data Processing2.7. The Running Average Filter2.8. Representation of Processing Systems2.9. Feedback (or Recursive) Filters2.10. Chapter Summary

3.1. Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT)3.2. Short-Time Fourier Transform (STFT)3.3. Discrete Wavelet Transform (DWT)3.4. Signal Processing Toolset
4.1. Overview4.2. Introduction4.3. MPEG Audio Coding4.4. MPEG Advanced Audio Coding4.5. Dolby AC3 (Dolby Digital)4.6. Other Standards4.7. SummaryBibliography
5.1. Rounding Considerations5.2. SDTV-HDTV YCbCr Transforms5.3. 4:4:4 to 4:2:2 YCbCr Conversion5.4. Display Enhancement5.5. Video Mixing and Graphics Overlay5.6. Luma and Chroma Keying5.7. Video Scaling5.8. Scan Rate Conversion5.9. Noninterlaced-to-Interlaced Conversion5.10. Interlaced-to-Noninterlaced Conversion5.11. DCT-Based Compression5.12. Fixed Pixel Display Considerations5.13. Application ExampleBibliography
6.1. Radio Carrier6.2. Amplitude Modulation6.3. Modulation Index6.4. Frequency Modulation6.5. Modulation Index and Deviation Ratio6.6. Sidebands6.7. Bandwidth6.8. Improvement in Signal-to-Noise Ratio6.9. Frequency-Shift Keying6.10. Phase Modulation6.11. Phase-Shift Keying6.12. Minimum-Shift Keying6.13. Quadrature Amplitude Modulation6.14. Spread Spectrum Techniques6.15. Frequency Hopping6.16. Direct-Sequence Spread Spectrum6.17. Orthogonal Frequency Division Multiplexing6.18. Bandwidth and Data Capacity6.19. Summary
7.1. DSP Theory for Hardware Designers7.2. Theory, Applications, and Implementations7.3. DSP Applications7.4. DSP Implementations7.5. Review of Processors and Systems7.6. Design Flow7.7. Conclusions
8.1. Digital Signal Processor Architecture8.2. Digital Signal Processor Hardware Units8.3. Digital Signal Processors and Manufacturers8.4. Fixed-Point and Floating-Point Formats8.5. Finite Impulse Response and Infinite Impulse Response Filter Implementations in Fixed-Point Systems8.6. Digital Signal Processing Programming Examples8.7. SummaryBibliography
9.1. Introduction9.2. Event Generation and Handling9.3. Programming Methodology9.4. Architectural Features for Efficient Programming9.5. Compiler Considerations for Efficient Programming9.6. System and Core Synchronization9.7. Memory Architecture—The Need for Management9.8. Physics of Data MovementBibliography
10.1. Multicore System-on-a-Chip10.2. Software Architecture for SoC10.3. SoC System Boot Sequence10.4. Tools Support for SoC10.5. A Video Processing Example of SoCBibliography
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Content preview from Digital Signal Processing: World Class Designs

Chapter 10. Testing and Debugging DSP Systems

While not the sexiest part of embedded design, test and debug is crucial for a product’s success. It’s also one of the most vexing parts. In survey after survey, developers list test and debug as their biggest source of project delays. In the 2008 Tech Insights survey, for example, 38% of engineers reported that debugging was their biggest concern. This was followed closely by worries over the related issue of code complexity, a concern that vexed 26% of respondents. The responding engineers’ greatest concern for future projects? Debugging tools and software integration.The anxiety over the future is unsurprising. Test and debug isn’t getting any easier. With design complexity on the rise, particularly ...