The Scientist and Engineer's Guide to Digital Signal Processing
By Steven W. Smith, Ph.D.
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Chapter 1 - The Breadth and Depth of DSP
Chapter 2 - Statistics, Probability and Noise
Chapter 3 - ADC and DAC
Chapter 4 - DSP Software
Chapter 5 - Linear Systems
Chapter 6 - Convolution
Chapter 7 - Properties of Convolution
Chapter 8 - The Discrete Fourier Transform
Chapter 9 - Applications of the DFT
Chapter 10 - Fourier Transform Properties
Chapter 11 - Fourier Transform Pairs
Chapter 12 - The Fast Fourier Transform
Chapter 13 - Continuous Signal Processing
Chapter 14 - Introduction to Digital Filters
Chapter 15 - Moving Average Filters
Chapter 16 - Windowed-Sinc Filters
Chapter 17 - Custom Filters
Chapter 18 - FFT Convolution
Chapter 19 - Recursive Filters
Chapter 20 - Chebyshev Filters
Chapter 21 - Filter Comparison
Chapter 22 - Audio Processing
Chapter 23 - Image Formation & Display
Chapter 24 - Linear Image Processing
Chapter 25 - Special Imaging Techniques
Chapter 26 - Neural Networks (and more!)
Chapter 27 - Data Compression
Chapter 28 - Digital Signal Processors
Chapter 29 - Getting Started with DSPs
Chapter 30 - Complex Numbers
Chapter 31 - The Complex Fourier Transform
Chapter 32 - The Laplace Transform
Chapter 33 - The z-Transform
Chapter 34 - Explaining Benford's Law
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8 good reasons for learning DSP
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Chapter 30 - Complex Numbers
/ Complex Representation of Sinusoids
Chapter 30: Complex Numbers
Complex Representation of Sinusoids
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Complex Representation of Systems
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