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Fourier Series and Transforms

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Parseval's Theorem

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Parseval's theorem states that the sum (or integral) of the square of a function is equal to the sum (or integral) of the square of its transform, used in energy and power analysis of signals.

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Window Function

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A window function in Fourier analysis is applied to a signal to minimize edge effects when taking a finite Fourier transform of an infinite signal.

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eix e^{ix}

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In Fourier analysis, eix e^{ix} represents complex exponentials and is crucial for Euler's formula, expressing sinusoids in terms of exponentials.

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Fast Fourier Transform (FFT)

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The Fast Fourier Transform is an algorithm that computes the Discrete Fourier Transform (DFT) much faster than a direct computation.

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Aliasing

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Aliasing in Fourier analysis is the effect that occurs when a signal is sampled at a rate that is insufficient to capture the changes in the signal, resulting in a distortion called an alias.

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Fourier Transform

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The Fourier Transform is a mathematical transform that decomposes functions depending on space or time into functions depending on spatial or temporal frequency.

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Inverse Fourier Transform

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The Inverse Fourier Transform is the process of recovering the original function from its frequency domain representation.

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Fourier Series

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A Fourier series is a way to represent a function as the sum of simple sine and cosine waves.

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Convolution Theorem

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The Convolution Theorem states that the Fourier transform of a convolution of two signals is the pointwise product of their Fourier transforms.

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Harmonic

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A harmonic in the context of Fourier analysis is a component frequency of the signal that is an integer multiple of the fundamental frequency.

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Orthogonality of Eigenfunctions

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In Fourier series, orthogonality refers to the condition of sine and cosine functions that allows them to be independent components of the signal representation.

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Gibbs Phenomenon

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Gibbs Phenomenon refers to the overshoots and ripples that occur near jump discontinuities when approximating functions using their Fourier series.

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Discrete Fourier Transform (DFT)

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The Discrete Fourier Transform is a type of Fourier transform used for discrete signals, often for signal and image processing.

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Frequency Spectrum

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The frequency spectrum is a representation of a signal in the frequency domain, showing how much of the signal lies within each given frequency band.

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Continuous-Time Fourier Series (CTFS)

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CTFS represents periodic, continuous-time signals as a sum of continuous-time sinusoids weighted by complex coefficients.

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