Fourier 
related topics: Fourier java applets,
DSP (Electronics) |
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Complex Fourier series Fourier series expansion of a square wave,
triangle wave, and sawtooth |
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Discrete FFT applet
for letter bit patterns |
| FFT demystified
Discrete Fast Fourier Transform DFT, FFT algorithms |
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FFT
spectrum analyser demo applet |
| Fourier |
| Fourier |
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Fourier approximations and music |
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Fourier decomposition Fourier decomposition |
| Fourier series applet
a method of expressing an arbitrary periodic function as a sum of cosine terms.
In other words, Fourier series can be used to express a function in terms of the
frequencies (harmonics) it is composed of |
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Fourier series applet
Fourier series applet, This demonstration illustrates the use of Fourier series
to represent functions |
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Fourier series applet
Fourier is an applet which demonstrates Fourier Series and frequency domain
concepts |
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Fourier series applet
This java applet demonstrates Fourier series, which is a method of expressing an
arbitrary periodic function as a sum of cosine terms |
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Fourier Series
Approximation |
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Fourier Series
this java applet is a simulation that demonstrates Fourier series, which is a method of expressing an arbitrary periodic function as a sum of cosine
terms. In other words, Fourier series can be used to express a function in terms of the frequencies (harmonics) it is composed of. |
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Fourier Series
Sawtooth, Square |
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Fourier series
Fourier's theorem states that any complex stimulus, f(x), can be represented
as a sum of sinusoidal components |
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Fourier Series - Sawtooth Wave Fourier Series - Sawtooth Wave |
| Fourier synthesis
Fourier synthesis |
| Fourier synthesis |
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Fourier synthesis |
| Fourier synthesis
Fourier synthesis, a periodic signal can be described by a Fourier decomposition as a Fourier series, i. e. as a sum of sinusoidal and
cosinusoidal oscillations. By reversing this procedure a periodic signal can be generated by superimposing sinusoidal and cosinusoidal waves |
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Fourier synthesis of periodic signals Fourier synthesis of periodic
signals |
| Fourier tutorial
Fourier tutorial |
| Introduction to Fourier theory introduction to Fourier theory. Linear transforms, especially Fourier and Laplace transforms, are widely used in
solving problems in science and engineering. The Fourier transform is used in linear systems analysis, antenna studies, optics, random process
modeling, probability theory, quantum physics, and boundary-value problems |
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Rotating Phasors |
| Square wave
approximation,
Sound wave approximation |
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Horizontaal |
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Last updated on:
2011-01-02
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