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Table of Contents

Preface for Digital Signal Processing: A User's Guide
Background, Review, and Reference
Digital Filter Design
The DFT, FFT, and Practical Spectral Analysis
- The Discrete Fourier Transform
  - DFT Definition and Properties
- Spectrum Analysis
- Fast Fourier Transform Algorithms
  - Overview of Fast Fourier Transform (FFT) Algorithms
  - Running FFT
  - Goertzel's Algorithm
  - Power-of-Two FFTs
    - Power-of-two FFTs
    - Radix-2 Algorithms
    - Radix-4 FFT Algorithms
    - Split-radix FFT Algorithms
  - Efficient FFT Algorithm and Programming Tricks
- Fast Convolution
- Chirp-z Transform
- FFTs of prime length and Rader's conversion
- Choosing the Best FFT Algorithm
Wavelets
Multirate Signal Processing
Digital Filter Structures and Quantization Error Analysis
- Filter Structures
- Fixed-Point Numbers
  - Fixed-Point Number Representation
  - Fixed-Point Quantization
- Quantization Error Analysis
- Overflow Problems and Solutions
  - Limit Cycles
  - Scaling

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DSPA

Collection type: Course

Course by: Janko Calic

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Collection Properties

Summary: An introductory course in Digital Signal Processing

Institution: University of Surrey

Course Number: EE3.DSPA

Course Web page

This collection contains: Modules by: Anders Gjendemsjø, Benjamin Fite, Don Johnson, Douglas L. Jones, Ivan Selesnick, Melissa Selik, Michael Haag, Phil Schniter, Ricardo Radaelli-Sanchez, Richard Baraniuk, Robert Nowak

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Creative Commons License

More about this content: Metadata | Version History

This work is licensed by Janko Calic under a Creative Commons Attribution License (CC-BY 2.0), and is an Open Educational Resource.

Last edited by Janko Calic on Nov 2, 2008 2:53 pm US/Central.