
- 432 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response. It does so using easy-to-understand examples with minimum mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction to CDMA mobile communication to airborne radar systems.This book has been updated to include the latest developments in Digital Signal Processing, and haseight new chapters on: - Automotive Radar Signal Processing- Space-Time Adaptive Processing Radar- Field Orientated Motor Control- Matrix Inversion algorithms- GPUs for computing- Machine Learning- Entropy and Predictive Coding- Video compression- Features eight new chapters on Automotive Radar Signal Processing, Space-Time Adaptive Processing Radar, Field Orientated Motor Control, Matrix Inversion algorithms, GPUs for computing, Machine Learning, Entropy and Predictive Coding, and Video compression- Provides clear examples and a non-mathematical approach to get you up to speed quickly- Includes an overview of the DSP functions and implementation used in typical DSP-intensive applications, including error correction, CDMA mobile communication, and radar systems
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Information
Table of contents
- 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)
- 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
- Chapter 17. Orthogonal Frequency Division Multiple Access Wireless Communications
- Chapter 18. Radar Basics
- Chapter 19. Pulse Doppler Radar
- Chapter 20. Automotive Radar
- 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
- Chapter 26. Introduction to Machine Learning
- 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