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:
1. Introduction - p. xv 2. Chapter 1. Numerical Representation - p. 1 3. Chapter 2. Complex Numbers and Exponentials - p. 9 4. Chapter 3. Sampling, Aliasing, and Quantization - p. 21 5. Chapter 4. Frequency Response - p. 31 6. Chapter 5. Finite Impulse Response (FIR) Filters - p. 41 7. Chapter 6. Windowing - p. 59 8. Chapter 7. Decimation and Interpolation - p. 65 9. Chapter 8. Infinite Impulse Response (IIR) Filters - p. 75 10. Chapter 9. Complex Modulation and Demodulation - p. 83 11. Chapter 10. Discrete and Fast Fourier Transforms (DFT, FFT) - p. 99 12. Chapter 11. Digital Upconversion and Downconversion - p. 117 13. Chapter 12. Error-Correction Coding - p. 129 14. Chapter 13. Matrix Inversion - p. 149 15. Chapter 14. Field-Oriented Motor Control - p. 163 16. Chapter 15. Analog and Time Division Multiple Access Wireless Communications - p. 183 17. Chapter 16. CDMA Wireless Communications - p. 191 18. Chapter 17. Orthogonal Frequency Division Multiple Access Wireless Communications - p. 209 19. Chapter 18. Radar Basics - p. 231 20. Chapter 19. Pulse Doppler Radar - p. 241 21. Chapter 20. Automotive Radar - p. 253 22. Chapter 21. Space Time Adaptive Processing (STAP) Radar - p. 277 23. Chapter 22. Synthetic Array Radar - p. 287 24. Chapter 23. Introduction to Video Processing - p. 297 25. Chapter 24. DCT, Entropy, Predictive Coding, and Quantization - p. 311 26. Chapter 25. Image and Video Compression Fundamentals - p. 329 27. Chapter 26. Introduction to Machine Learning - p. 347 28. Chapter 27. Implementation Using Digital Signal Processors - p. 361 29. Chapter 28. Implementation Using FPGAs - p. 371 30. Chapter 29. Implementation With GPUs - p. 387 31. Appendix A. Q Format Shift With Fractional Multiplication - p. 395 32. Appendix B. Evaluation of Finite Impulse Response Design Error Minimization - p. 397 33. Appendix C. Laplace Transform - p. 401 34. Appendix D. Z-Transform - p. 405 35. Appendix E. Binary Field Arithmetic - p. 409 36. Index - p. 411
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:
1. Introduction - p. xv 2. Chapter 1. Numerical Representation - p. 1 3. Chapter 2. Complex Numbers and Exponentials - p. 9 4. Chapter 3. Sampling, Aliasing, and Quantization - p. 21 5. Chapter 4. Frequency Response - p. 31 6. Chapter 5. Finite Impulse Response (FIR) Filters - p. 41 7. Chapter 6. Windowing - p. 59 8. Chapter 7. Decimation and Interpolation - p. 65 9. Chapter 8. Infinite Impulse Response (IIR) Filters - p. 75 10. Chapter 9. Complex Modulation and Demodulation - p. 83 11. Chapter 10. Discrete and Fast Fourier Transforms (DFT, FFT) - p. 99 12. Chapter 11. Digital Upconversion and Downconversion - p. 117 13. Chapter 12. Error-Correction Coding - p. 129 14. Chapter 13. Matrix Inversion - p. 149 15. Chapter 14. Field-Oriented Motor Control - p. 163 16. Chapter 15. Analog and Time Division Multiple Access Wireless Communications - p. 183 17. Chapter 16. CDMA Wireless Communications - p. 191 18. Chapter 17. Orthogonal Frequency Division Multiple Access Wireless Communications - p. 209 19. Chapter 18. Radar Basics - p. 231 20. Chapter 19. Pulse Doppler Radar - p. 241 21. Chapter 20. Automotive Radar - p. 253 22. Chapter 21. Space Time Adaptive Processing (STAP) Radar - p. 277 23. Chapter 22. Synthetic Array Radar - p. 287 24. Chapter 23. Introduction to Video Processing - p. 297 25. Chapter 24. DCT, Entropy, Predictive Coding, and Quantization - p. 311 26. Chapter 25. Image and Video Compression Fundamentals - p. 329 27. Chapter 26. Introduction to Machine Learning - p. 347 28. Chapter 27. Implementation Using Digital Signal Processors - p. 361 29. Chapter 28. Implementation Using FPGAs - p. 371 30. Chapter 29. Implementation With GPUs - p. 387 31. Appendix A. Q Format Shift With Fractional Multiplication - p. 395 32. Appendix B. Evaluation of Finite Impulse Response Design Error Minimization - p. 397 33. Appendix C. Laplace Transform - p. 401 34. Appendix D. Z-Transform - p. 405 35. Appendix E. Binary Field Arithmetic - p. 409 36. Index - p. 411
