The Scientist and Engineer's Guide to Digital Signal Processing

By Steven W. Smith, Ph.D.

Table of Contents

Foundations

• 1: The Breadth and Depth of DSP
• 2: Statistics, Probability and Noise
• 3: ADC and DAC
• 4: DSP Software

Fundamentals

• 5: Linear Systems
• 6: Convolution
• 7: Properties of Convolution
• 8: The Discrete Fourier Transform
• 9: Applications of the DFT
• 10: Fourier Transform Properties
• 11: Fourier Transform Pairs
• 12: The Fast Fourier Transform
• 13: Continuous Signal Processing

Digital Filters

• 14: Introduction to Digital Filters
• 15: Moving Average Filters
• 16: Windowed-Sinc Filters
• 17: Custom Filters
• 18: FFT Convolution
• 19: Recursive Filters
• 20: Chebyshev Filters
• 21: Filter Comparison

Applications

• 22: Audio Processing
• 23: Image Formation and Display
• 24: Linear Image Processing
• 25: Special Imaging Techniques
• 26: Neural Networks (and more!)
• 27: Data Compression
• 28: Digital Signal Processors
• 29: Getting Started with DSPs

Complex Techniques

• 30: Complex Numbers
• 31: The Complex Fourier Transform
• 32: The Laplace Transform
• 33: The z-Transform
• 34: Explaining Benford's Law