No society could improve, Fourier believed, until women's lot improved.

傅里叶认为，除非女性命运得以改善，否则整个社会难以得以发展。

Gloomy as he looked in portraits, the Frenchman Charles Fourier concentrated on fun.

法国人查尔斯傅里叶关注于这其中乐趣，尽管他在肖像画里看起来很忧伤。

And it mixes that with deep neural networks, and hence, this is called Deep Fourier-based super-resolution.

将傅里叶变换与深度神经网络结合，因此被称为基于深度傅里叶超辨率。

Well, get this, it uses the Fourier transform, a mathematical technique for breaking down a signal, for instance, a song into its frequencies, like taking the bass guitar out of a song.

听好了，使用了傅里叶变换，这是一种数学技术，用于信号，比如将一频率，就像从一中提取出贝斯吉他一样。

It was radical when Fourier wrote it in 1808.

但1808年，傅里叶写下这句话却显得尤为激进。

Fourier was wounded, so he demanded a second duel.

傅里叶受伤了，所以他要求进行第二次决斗。

" It's like grading high-school students on middle-school tests, " says Dr Fourrier.

“这就像是根据初中考试绩来给高中生评一样，”傅里叶博士说。

Today we can see that Gauss had figured out the discreet Fourier Transform before Joseph Fourier himself published it in 1807. And he had developed the same Fast Fourier Transform algorithm as Cooley and Tukey a century and a half earlier.

今天我们可以看到，在约瑟夫·傅里叶于 1807 年发表离散傅里叶变换之前，高斯就已经提出了离散傅里叶变换。并且他在一个半世纪前就开发了与库利和图基相同快速傅里叶变换算法。

And most of the reason that it's a lie is that I still have yet to tell you what the actual Fourier Transform is, since it's a little more complex than this x-coordinate-of-the-center-of-mass idea.

而这个说法之所以是谎言， 最主要原因是我还没有告诉你傅里叶变换实际上是什么，因为比这个“质心x坐标” 想法要复杂一些。

This conversion from waveform to frequencies is done with a very cool algorithm called a Fast Fourier Transform.

这个从波形到频率转换是通过一个非常酷算法——快速傅里叶变换来完。

The fundamentals of the science around the greenhouse effect date back to Joseph Fourier some 200 years ago.

温室效应科学基础可追溯到约200年前约瑟夫·傅里叶。

And so there's definitely a lot of love and crossover between Wolf and- Her name was Dr. Fourier.

因此，狼和——她名字是傅里叶博士——之间肯定有很多爱和交集。

And that is how the Fast Fourier Transform reduces N squared calculations down to NlogN.

这就是快速傅里叶变换如何将 N 平方计算减少到 NlogN。

They also have to do a Fourier analysis, decompose that, do a power spectrum, filtration, windows.

他们还需要进行傅里叶析，信号，进行功率谱析，实施滤波处理，并应用窗口技术。

Physically, this has the effect that when a certain frequency persists for a long time, then the magnitude of the Fourier transform at that frequency is scaled up more and more.

从物理上讲， 这意味着当某个频率长时间持续存在时，傅里叶变换在该频率处幅度会被放大得越来越多。

So a lot of those kind of basic courses, if you do electrical engineering, you take signal processing, you'll learn about Fourier transforms.

所以很多这类基础课程，如果你学电气工程， 你会学习信号处理，会学到傅里叶变换。

It's called the discrete fourier transform of the coefficients.

被称为系数离散傅里叶变换。

But, says Dr Fourrier, benchmark scores " should be taken with a pinch of salt" .

但是，傅里叶博士表示，基准数“应该持怀疑态度”。

Garwin observed Tukey doodling throughout but what he was actually doing was working on discreet Fourier transforms.

加文自始至终都在观察图基涂鸦，但他实际上所做是离散傅里叶变换。

And you have the discreet Fourier transform of this really simple signal.

你可以对这个非常简单信号进行离散傅里叶变换。