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离散傅立叶变换的替代方案

Alternatives to the Discrete Fourier Transform
课程网址: http://videolectures.net/aml08_balcan_adft/  
主讲教师: Aliaksei Sandryhaila; Jonathan Gross; Markus Püschel; Doru Balcan
开课单位: 卡内基梅隆大学
开课时间: 2009-12-20
课程语种: 英语
中文简介:
众所周知,有限长离散时间信号的离散傅立叶变换(DFT)在单位圆上等距点处对同一信号的离散傅立叶变换进行采样。因此,当信号长度为无穷大时,DFT接近DTFT。与DFT相关的是循环卷积和周期信号扩展。本文利用多项式代数理论,对离散傅立叶变换(DFT)的一大类替代方法进行了识别。每一个傅立叶变换都像离散傅立叶变换一样接近差分傅立叶变换,但它有自己的信号扩展和卷积概念,因此不是周期性的。此外,这些傅立叶变换具有范德蒙结构,通过快速算法进行计算。
课程简介: It is well-known that the discrete Fourier transform (DFT) of a finite length discrete-time signal samples the discrete-time Fourier transform of the same signal at equidistant points on the unit circle. Hence, as the signal length goes to infinity, the DFT approaches the DTFT. Associated with the DFT are circular convolution and a periodic signal extension. In this paper we identify a large class of alternatives to the DFT using the theory of polynomial algebras. Each of these Fourier transforms approaches the DTFT just as the DFT does, but has its own signal extension and notion of convolution, which therefore are not periodic. Furthermore, these Fourier transforms have Vandermonde structure, which enables their computation via fast algorithms.
关 键 词: 傅里叶变换; 代数; 范德蒙结构
课程来源: 视频讲座网
最后编审: 2020-05-24:吴雨秋(课程编辑志愿者)
阅读次数: 43