Title: Fast Fourier Transform - Algorithms and Applications Author(s): K.R. Rao, D.N. Kim, J.-J. Hwang (auth.) Series: Signals and Communication Technology Publisher: Springer Netherlands Year: 2010 Edition: 1 Language: English Pages (biblio\tech): 426\437 ISBN: 1402066287, 9781402066283 Fast Fourier Transform - Algorithms and Applications presents an introduction to the principles of the fast Fourier transform (FFT). It covers FFTs, frequency domain filtering, and applications to video and audio signal processing. As fields like communications, speech and image processing, and related areas are rapidly developing, the FFT as one of the essential parts in digital signal processing has been widely used. Thus there is a pressing need from instructors and students for a book dealing with the latest FFT topics. Fast Fourier Transform - Algorithms and Applications provides a thorough and detailed explanation of important or up-to-date FFTs. It also has adopted modern approaches like MATLAB examples and projects for better understanding of diverse FFTs. Fast Fourier Transform - Algorithms and Applications is designed for senior undergraduate and graduate students, faculty, engineers, and scientists in the field, and self-learners to understand FFTs and directly apply them to their fields, efficiently. It is designed to be both a text and a reference. Thus examples, projects and problems all tied with MATLAB, are provided for grasping the concepts concretely. It also includes references to books and review papers and lists of applications, hardware/software, and useful websites. By including many figures, tables, bock diagrams and graphs, this book helps the reader understand the concepts of fast algorithms readily and intuitively. It provides new MATLAB functions and MATLAB source codes. The material in Fast Fourier Transform - Algorithms and Applications is presented without assuming any prior knowledge of FFT. This book is for any professional who wants to have a basic understanding of the latest developments in and applications of FFT. It provides a good reference for any engineer planning to work in this field, either in basic implementation or in research and development. Table of contents : Front Matter....Pages i-xviii Introduction....Pages 1-3 Discrete Fourier Transform....Pages 5-40 Fast Algorithms....Pages 41-110 Integer Fast Fourier Transform....Pages 111-126 Two-Dimensional Discrete Fourier Transform....Pages 127-184 Vector-Radix 2D-FFT Algorithms....Pages 185-193 Nonuniform DFT....Pages 195-234 Applications....Pages 235-316 Back Matter....Pages 317-423

Computational Frameworks for the Fast Fourier Transform by Charles Van Loan

连续傅里叶变换matlab代码我在大学里接受了傅立叶变换的作业。 我在上面写了matlab代码。 Q1。 编写一个内置的MATLAB函数，以计算连续时间信号x（t）的傅里叶变换。 Q2。 编写MATLAB程序以找到x（t）= 0.9e ^ j（pi）t / 3，0 <t <10的傅立叶变换，并绘制幅值和相位。 Q3。 使用MATLAB查找x（t）x（t）= 1 /（a ^ 2 + t ^ 2）的光谱。 Q4。 考虑x（t）= {1，0 <t <3 {0，否则使用MATLAB查找傅立叶变换并绘制频谱的幅度和相位。 Q5。 考虑两个随机信号x1（t）和x2（t），它们均匀分布在0 <t <10的间隔[0，1]上。验证傅里叶变换的线性特性，并使用MATLAB绘制必要的波形。 每周小贴士 该存储库包含“ Android开发技巧每周”课程的起点和终点分支，可在LinkedIn学习和Lynda.com上找到。

DFT的matlab源代码离散傅立叶变换 不使用fft函数的DFT的MATLAB代码 需要特别注意的是，这是一个功能文件而不是脚本，您需要传递参数以执行此程序。 步骤1.在您当前的MATLAB目录中保存“ DFT_nik.m” 步骤2.定义序列x例如x = [1 2 3 1 1 2 3 2 1 2 2] 步骤3.然后写X = DFT_nik（x） 讲解 x =输入序列 X =序列的dft 例子 x = [1 2 4 1 2 1 2 2 3 2 3]; X = DFT_nik（x） 请注意，MATLAB区分大小写，因此x和X是不同的变量 #### ========================================== 如有任何疑问，困惑或反馈，请联系 耐克（Nikesh Bajaj） 热那亚大学和伦敦玛丽皇后大学博士生

本程序是matlab中快速傅立叶变换的开源代码。 其中 y 是输入参数，p 是输入的归一化大小。 让y = [1 2 3 4 ]; x=长度(y); m= log2(x); p=细胞（米）； 调用函数使用ft2(y,p);

DFT的matlab源代码离散傅里叶变换 DFT和快速DFT逆DFT和快速DFT的逆

The Fourier transform and its application经典著作（RN Bracewell) 文件格式djvu,阅读器下载地址 http://windjview.sourceforge.net/

Fast Fourier Transform and Its Applications 1988 by E. Brigham (Author) 英文扫描版 不是很清楚 但是基本能看 加了 详细书签 目录

FFT is a fast Fourier transform (FFT) is an efficient algorithm to compute the discrete Fourier transform (DFT) and its inverse. This algorithm is implemented in Java

快速傅里叶变换(FFT)讲义，CME342/AA220/CS238 - Parallel Methods in Numerical Analysis - Fast Fourier Transform。