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第21讲：DFT基本定义回顾Lecture 21: Review Of Basic DFT Definitions |
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| 课程网址: | http://videolectures.net/stanfordee261f07_osgood_lec21/ |
| 主讲教师: | Brad G. Osgood |
| 开课单位: | 斯坦福大学 |
| 开课时间: | 2010-05-21 |
| 课程语种: | 英语 |
| 中文简介: |  看起来像这样。你有一个离散信号。所以我在这里同时使用信号符号和向量符号，我将继续这样做，将两者混合起来，因为我认为它们都很有用。所以这个想法是你有一个 N 元组的数字或一个离散信号，其在第 n 个点的值就是这里的值，FM。好的？哎呀，这看起来不对。这没什么好说的。因此，您可以将其视为在整数或从零到 N 减一的整数上定义的离散信号，也可以将其视为 N 元组或向量。 ... |
| 课程简介: | It looked like this. You have a Discrete signal. So I'm using both the signal notation and vector notation here, and I'll continue to do that, sort of mix the two up, because I think they're both useful. So the idea is you have either an N-tuple of numbers or a Discrete signal whose value at the nth point is just the value here, FM. Okay? Oops, that doesn't look right. That's not much of a statement. So you can either consider it as a Discrete signal who's defined on the integers or the integers from zero to N minus one, or you can think of it as an N-tuple or as a vector. ... |
| 关 键 词: | 离散信号; 向量; DFT |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-07-17：nkq |
| 最后编审: | 2021-08-28：nkq |
| 阅读次数: | 53 |