Digital Signal Processing 101: Everything You Need to Know to Get Started

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 has eight new chapters on:

Automotive Radar Signal Processing Space-Time Adaptive Processing RadarField Orientated Motor Control Matrix Inversion algorithms GPUs for computing Machine LearningEntropy and Predictive CodingVideo 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 quicklyIncludes an overview of the DSP functions and implementation used in typical DSP-intensive applications, including error correction, CDMA mobile communication, and radar systems

1. Numerical Representation 2. Complex Numbers and Exponentials 3. Sampling, Aliasing and Quantization 4. Frequency Response 5. Finite Impulse Response (FIR) Filters 6. Windowing 7. Decimation and Interpolation 8. Infinite Impulse Response (IIR) Filters 9. Matrix Inversion algorithms (QR and Cholesky Decomposition) 10. Complex Modulation and Demodulation 11. Discrete and Fast Fourier Transforms (DFT, FFT) 12. Discrete Cosine Transform (DCT) 13. Digital Up and Down Conversion 14. Error Correction Coding 15. Analog and TDMA Wireless Communications 16. CDMA Wireless Communications 17. OFDMA Wireless Communications 18. Radar Basics 19. Pulse Doppler Radar 20. FMCW Radar Signal Processing 21. Space-Time Adaptive Processing Radar (STAP) 22. Synthetic Array Radar (SAR) 23. Field Orientated Motor Control 24. Introduction to Video Processing 25. Introduction to Video Compression 26. Introduction to Machine Learning 27. Implementation using Digital Signal Processors 28. Implementation using FPGAs

Appendix A – Q Format Shift with Fractional Multiplication Appendix B – Evaluation of FIR Design Error Minimization Appendix C – Laplace transform Appendix D – Z transform Appendix E – Binary Field Arithmetic