- Cover image
- Title page
- Table of Contents
- Copyright
- Acknowledgments
- Introduction
- Chapter 1. Numerical Representation
- Chapter 2. Complex Numbers and Exponentials
- Chapter 3. Sampling, Aliasing, and Quantization
- Chapter 4. Frequency Response
- Chapter 5. Finite Impulse Response (FIR) Filters
- Chapter 6. Windowing
- Chapter 7. Decimation and Interpolation
- Chapter 8. Infinite Impulse Response (IIR) Filters
- Chapter 9. Complex Modulation and Demodulation
- Chapter 10. Discrete and Fast Fourier Transforms (DFT, FFT)
- 10.1. Discrete Fourier Transform and Inverse Discrete Fourier Transform Equations
- 10.2. First Discrete Fourier Transform Example
- 10.3. Second Discrete Fourier Transform Example
- 10.4. Third Discrete Fourier Transform Example
- 10.5. Fourth Discrete Fourier Transform Example
- 10.6. Fast Fourier Transform
- 10.7. Filtering Using the Fast Fourier Transform and Inverse Fast Fourier Transform
- 10.8. Bit Growth in Fast Fourier Transforms
- 10.9. Bit Reversal Addressing
- Chapter 11. Digital Upconversion and Downconversion
- Chapter 12. Error-Correction Coding
- Chapter 13. Matrix Inversion
- Chapter 14. Field-Oriented Motor Control
- Chapter 15. Analog and Time Division Multiple Access Wireless Communications
- Chapter 16. CDMA Wireless Communications
- 16.1. Spread Spectrum Technology
- 16.2. Direct Sequence Spread Spectrum
- 16.3. Walsh Codes
- 16.4. Concept of Code Division Multiple Access
- 16.5. Walsh Code Demodulation
- 16.6. Network Synchronization
- 16.7. RAKE Receiver
- 16.8. Pilot Pseudorandom Number Codes
- 16.9. Code Division Multiple Access Transmit Architecture
- 16.10. Variable Rate Vocoder
- 16.11. Soft Handoff
- 16.12. Uplink Modulation
- 16.13. Power Control
- 16.14. Higher Data Rates
- 16.15. Spectral Efficiency Considerations
- 16.16. Other Code Division Multiple Access Technologies
- Chapter 17. Orthogonal Frequency Division Multiple Access Wireless Communications
- 17.1. WiMax and Long-Term Evolution
- 17.2. Orthogonal Frequency Division Multiple Access Advantages
- 17.3. Orthogonality of Periodic Signals
- 17.4. Frequency Spectrum of Orthogonal Subcarrier
- 17.5. Orthogonal Frequency Division Multiplexing Modulation
- 17.6. Intersymbol Interference and the Cyclic Prefix
- 17.7. Multiple Input and Multiple Output Equalization
- 17.8. Orthogonal Frequency Division Multiple Access System Considerations
- 17.9. Orthogonal Frequency Division Multiple Access Spectral Efficiency
- 17.10. Orthogonal Frequency Division Multiple Access Doppler Frequency Shift
- 17.11. Peak to Average Ratio
- 17.12. Crest Factor Reduction
- 17.13. Digital Predistortion
- 17.14. Remote Radio Head
- Chapter 18. Radar Basics
- Chapter 19. Pulse Doppler Radar
- Chapter 20. Automotive Radar
- 20.1. Frequency-Modulated Continuous-Wave Theory
- 20.2. Frequency-Modulated Continuous-Wave Range Detection
- 20.3. Frequency-Modulated Continuous-Wave Doppler Detection
- 20.4. Frequency-Modulated Continuous-Wave Radar Link Budget
- 20.5. Frequency-Modulated Continuous-Wave Implementation Considerations
- 20.6. Frequency-Modulated Continuous-Wave Interference
- 20.7. Frequency-Modulated Continuous-Wave Beamforming
- 20.8. Frequency-Modulated Continuous-Wave Range-Doppler Processing
- 20.9. Frequency-Modulated Continuous-Wave Radar Front-End Processing
- 20.10. Frequency-Modulated Continuous-Wave Pulse-Doppler Processing
- 20.11. Frequency-Modulated Continuous-Wave Radar Back-End Processing
- 20.12. Noncoherent Antenna Magnitude Summation
- 20.13. Cell Averaging–Constant False Alarm Rate
- 20.14. Ordered Sort–Constant False Alarm Rate
- 20.15. Angle of Arrival Estimation
- Chapter 21. Space Time Adaptive Processing (STAP) Radar
- Chapter 22. Synthetic Array Radar
- Chapter 23. Introduction to Video Processing
- Chapter 24. DCT, Entropy, Predictive Coding, and Quantization
- Chapter 25. Image and Video Compression Fundamentals
- 25.1. Baseline JPEG
- 25.2. DC Scaling
- 25.3. Quantization Tables
- 25.4. Entropy Coding
- 25.5. JPEG Extensions
- 25.6. Video Compression Basics
- 25.7. Block Size
- 25.8. Motion Estimation
- 25.9. Frame Processing Order
- 25.10. Compressing I Frames
- 25.11. Compressing P Frames
- 25.12. Compressing B Frames
- 25.13. Rate Control and Buffering
- 25.14. Quantization Scale Factor
- Chapter 26. Introduction to Machine Learning
- 26.1. Convolutional Neural Networks
- 26.2. Convolution Layer
- 26.3. Rectified Linear Unit Layer
- 26.4. Normalization Layer
- 26.5. Max-Pooling Layer
- 26.6. Fully Connected Layer
- 26.7. Training Computational Neural Networks
- 26.8. Winograd Transform
- 26.9. Convolutional Neural Network Numerical Precision Requirements
- Chapter 27. Implementation Using Digital Signal Processors
- Chapter 28. Implementation Using FPGAs
- Chapter 29. Implementation With GPUs
- Appendix A. Q Format Shift With Fractional Multiplication
- Appendix B. Evaluation of Finite Impulse Response Design Error Minimization
- Appendix C. Laplace Transform
- Appendix D. Z-Transform
- Appendix E. Binary Field Arithmetic
- Index
Digital Signal Processing 101
Everything You Need to Know to Get Started
Second Edition
Michael Parker
Intel Corporation
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