Fourier java applets
related topic: Fourier (mathematics) |
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Applets séries de Fourier
en Français |
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Applets séries de Fourier
en Français |
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Convolution
convolution is the term given to the mathematical technique for determining a
system output given an input signal and the system impulse response |
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Digital Signal
Processing Tools Digital Signal Processing Tools |
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Discrete Fourier
transform |
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FFT of
Arbitrary Function This applet lets you enter an arbitrary function and
compute its Fourier coefficients. It shows how the resulting Fourier series
approximates the original function |
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FFT
spectrum analyser demo applet |
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FFT Applet
(Discrete) Fast Fourier Transform (dFFT), This applet lets you enter an
arbitrary function and decompose it into its Fourier coefficients |
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Fourier
decomposition building a wave shape from sines and cosines, Fourier composition of a square wave, Fourier composition of a traingle wave,
Fourier composition of a sawtooth wave, Fourier composition of a pulse train |
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Fourier
demonstration |
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Fourier series |
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Fourier series |
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Fourier series |
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Fourier series |
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Fourier series |
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Fourier series
approximation |
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Fourier series
approximation Fourier series approximation |
| 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
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 examples
Fourier series examples |
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Fourier Series: Sawtooth Wave Fourier Series: Sawtooth Wave |
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Fourier series
to Fourier transform tool using this tool you can select a variety of
periodic signals |
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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 |
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Fourier transforms
the Fourier transform defines a relationship between a signal in the time domain
and its representation in the frequency domain. Being a transform, no
information is created or lost in the process, so the original signal can be
recovered from knowing the Fourier transform, and vice versa |
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Fourier transforms
The theorem states that any single valued, periodic function f(t) which is
continuous or has a finite number of discontinuities |
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Fresnel et décomposition de Fourier |
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Generating pulses
this applet shows the huge number of harmonics of the pulse repetition frequency
that are necessary to reproduce a low duty-cycle pulse train. Practically
speaking, this shows that if you want to amplify a very low duty-cycle pulse
train, you need an amplifier with large bandwidth. Notice that with a duty cycle
of 10%, it takes more than ten harmonics to produce a good pulse |
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J-DSP editor |
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Listen to Fourier
series needs real audio player |
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Listen to Fourier
series |
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Rotating
phasors |
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Séries de Fourier
en Français |
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Séries de Fourier
en Français |
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Séries de Fourier
en Français |
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Séries de Fourier et transformées de Fourier |
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Sound generator |
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Sound wave
approximation |
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Square wave approximation |
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Synthèse de Fourier
en Français |
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Synthesizer |
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Trigonometric
Series Applet |
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Last updated on:
2008-06-12
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