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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 Radar
- Field Orientated Motor Control
- Matrix Inversion algorithms
- GPUs for computing
- Machine Learning
- Entropy and Predictive Coding
- Video compression
Sommario
1. Numerical Representation2. Complex Numbers and Exponentials3. Sampling, Aliasing and Quantization4. Frequency Response5. Finite Impulse Response (FIR) Filters6. Windowing7. Decimation and Interpolation8. Infinite Impulse Response (IIR) Filters9. Matrix Inversion algorithms (QR and Cholesky Decomposition)10. Complex Modulation and Demodulation11. Discrete and Fast Fourier Transforms (DFT, FFT)12. Discrete Cosine Transform (DCT)13. Digital Up and Down Conversion14. Error Correction Coding15. Analog and TDMA Wireless Communications16. CDMA Wireless Communications17. OFDMA Wireless Communications18. Radar Basics19. Pulse Doppler Radar20. FMCW Radar Signal Processing21. Space-Time Adaptive Processing Radar (STAP)22. Synthetic Array Radar (SAR)23. Field Orientated Motor Control24. Introduction to Video Processing25. Introduction to Video Compression26. Introduction to Machine Learning27. Implementation using Digital Signal Processors28. Implementation using FPGAs
Appendix A - Q Format Shift with Fractional MultiplicationAppendix B - Evaluation of FIR Design Error MinimizationAppendix C - Laplace transformAppendix D - Z transformAppendix E - Binary Field Arithmetic
Info autore
Michael Parker is responsible for Intel’s FPGA division digital signal processing (DSP) product planning. This includes Variable Precision FPGA silicon architecture for DSP applications, DSP tool development, floating point tools, IP and video IP. He joined Altera (now Intel) in January 2007, and has over 20 years of previous DSP engineering design experience with companies such as Alvarion, Soma Networks, Avalcom, TCSI, Stanford Telecom and several startup companies. He holds an MSEE from Santa Clara University, and BSEE from Rensselaer Polytechnic Institute.
