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C. Sidney Burrus

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Type Title
N = 25 FFT module
N=2
N=3
N=4
N=5
N=7
Newton's Method
On Factoring Polynomials of High Degree
Optimality of the Four Classical Filter Designs
pN=16a
pN=2
pN=3
pN=4
pN=5
pN=7
pN=8
pN=9
Polynomial Description of Signals
Preface: Digital Signal Processing and Digital Filter Design
Preface: Fast Fourier Transforms
Preliminaries
PRO - m01 - Introduction to Prony, Padé and Linear Prediction
Program 10: Split-Radix, DIF, One-Butterfly, FFT
Program 11: Split-Radix, DIF, Two-Butterfly, FFT
Program 12: Prime Factor FFT Algorithm
Program 13: In-Place, In-Order Prime Factor FFT Algorithm
Program 1: Goertzel Algorithm
Program 2: Second Order Goertzel Algorithm
Program 3: Second Order Goertzel Algorithm, Two Outputs at a Time
Program 4: Basic Quick Fourier Transform (QFT)
Program 5: Radix-2, DIF, One Butterfly FFT
Program 6: Radix-2, DIT, One Butterfly FFT
Program 7: Radix-2, DIF, Three Butterfly FFT
Program 8: Radix-4, DIF, One Butterfly FFT
Program 9: Radix-4, DIF, Three Butterfly FFT
Programs for Circular Convolution
Programs for Prime Length FFTs
Properties of IIR Filters
References for Introduction
References for the LF Algorithm
Sampling, Up--Sampling, Down--Sampling, and Multi--Rate
Second Order Model
Simulation
Summary of the FFT
Supplementary Figures
Taylor Series, Maximally Flat, and Zero Moment Design Criteria
The Cooley-Tukey Fast Fourier Transform Algorithm
The DFT as Convolution or Filtering
The Lindsey-Fox Algorithm for Factoring Polynomials
The Prime Factor and Winograd Fourier Transform Algorithms
Three Special Events in the History of Technology for Creating, Organizing, and Sharing Information
Timing of the Lindsey-Fox Algorithm
What is Engineering??
Winograd's Short DFT Algorithms
Zero location for Polynomials with Random Coefficients
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