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The Fourier transform is a mathematical operation that transforms a function of time (or space) into a function of frequency. It decomposes a complex-valued function into its constituent frequencies and their amplitudes. The output of the Fourier transform is a complex-valued function of frequency, often referred to as the frequency domain representation of the original function1.
Definition and Formula
The Fourier transform ( \mathcal{F}(f) ) of a function ( f(t) ) is defined as: [ \mathcal{F}(f)(\xi) = \int_{-\infty}^{\infty} f(t) e^{-i 2 \pi \xi t} , dt ] where ( \xi ) represents the frequency variable1.
The inverse Fourier transform, which reconstructs the original function from its frequency domain representation, is given by: [ f(t) = \int_{-\infty}^{\infty} \mathcal{F}(f)(\xi) e^{i 2 \pi \xi t} , d\xi ] This process is known as synthesis, while the original transformation is called analysis1.
Properties
The Fourier transform has several important properties:
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Fourier transform - Wikipedia
In mathematics, the Fourier transform (FT) is an integral transform that takes a function as input and outputs another function that describes the extent to which various frequencies are present in the original function. The output of the transform is a complex-valued function of frequency. The term Fourier transform … 展开
The Fourier transform of a complex-valued (Lebesgue) integrable function $${\displaystyle f(x)}$$ on the real line, is the complex valued function 展开
The frequency variable must have inverse units to the units of the original function's domain (typically named $${\displaystyle t}$$ or $${\displaystyle x}$$). For example, if $${\displaystyle t}$$ is measured in seconds, $${\displaystyle \xi }$$ should … 展开
The definition of the Fourier transform naturally extends from $${\displaystyle L^{1}(\mathbb {R} )}$$ to $${\displaystyle L^{1}(\mathbb {R} ^{n})}$$. … 展开
History
In 1822, Fourier claimed (see Joseph Fourier § The Analytic Theory of Heat) that any function, whether continuous or discontinuous, can be … 展开Let $${\displaystyle f(x)}$$ and $${\displaystyle h(x)}$$ represent integrable functions Lebesgue-measurable on the real line satisfying: 展开
The Fourier transform can be defined in any arbitrary number of dimensions n. As with the one-dimensional case, there are many conventions. For an … 展开
CC-BY-SA 许可证中的维基百科文本 Learn how to use complex arithmetic to write the Fourier Transform and its pair, and how to derive the lag correlation and power spectrum from them. See examples of power spectra for red and …
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4.2: Complex Fourier Series - Engineering LibreTexts
2022年5月23日 · The complex Fourier series obeys Parseval's Theorem, one of the most important results in signal analysis. This general mathematical result says you can calculate a signal's power in either the time domain or the …
傅立叶系列(2): 傅立叶级数的复数形式 - 知乎 - 知乎专栏
傅立叶级数的复数形式(Complex Fourier Series)形式更简洁优美,在物理和数学中应用广泛。 理解傅立叶级数一文限于篇幅没有进行公式推导,有多位同学询问,本文补上。
Learn how to use Fourier transforms to describe the shape of sound waves produced by instruments. See the definition, properties and examples of Fourier transforms o…
- To understand sound, we need to know more than just which notes are played – we need the shape of the notes. If a string were a pure infinitely thin oscillator, with no damping, it would pro…
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Why do Fourier transforms use complex numbers?
2013年1月10日 · In this domain, the signal has two "properties" - magnitude and phase. If we want to get only the signal's "power" in a specific frequency bin, we indeed only need to take …
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详解快速傅里叶变换(FFT) - 知乎 - 知乎专栏
Source: Gauss and the History of the Fast Fourier Transform. 目前(2022年2月),库利和图基的论文已被引用17000多次。 FFT能够实现的根本原因是:复数域内,1的 N次方根 的周期性与对称性,如下图所示. Source: …
6.082 Spring 2007 Fourier Series and Fourier Transform, Slide 22 Summary • The Fourier Series can be formulated in terms of complex exponentials – Allows convenient mathematical form – …
E1.10 Fourier Series and Transforms (2014-5543) Complex Fourier Series: 3 – note 1 of slide 6 In these lectures, we are assuming that u(t)is a periodic real-valued function of time. In this case …
傅里叶变换学习记录 - 知乎 - 知乎专栏
3 天之前 · 代码解释. 1. 参数设置:设置采样频率 `fs`、信号时长 `T`,并生成时间向量 `t`。. 2. 信号生成:使用 `square` 函数生成 100Hz 方波信号,使用 `sin` 函数生成 100Hz 正弦波信号。. 3. FFT 计算:使用 `fft` 函数计算方波和正弦波的 …