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A Fourier series is a series of sine and cosine harmonics of a particular frequency.

For example sinf+icosf + 3 sin2f+ 5icos2f... where the successive terms are multiples of the fundamental frequency f. It is typical ( but as far as I know not required) that complex numbers are used.

A Fourier transform converts a time domain wave form (like a sound wave) into the coefficients of the corresponding Fourier series.

A DFT is a digital approximation to a Fourier transform, usually using something like the Cooley-Tuckey Fast Fourier Transform (FFT) for efficiency.

The underlying Fourier theorem is something like: Every bounded periodic continuous (needed to avoid Gibbs) function , or wave form, can be written as the sum of its Fourier series. i.e. It is a sum of sines and cosines

In otherwords, you take a wave form in the time domain like a sound wave and break it into its components (various frequencies) by the Fourier Transform. The results of the Transform are the coefficients of the Fourier series. The wave form of a voice converted to components (and perhaps a little more) is a voiceprint.

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โˆ™ 2010-01-19 03:33:56
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A polynomial of degree zero is a constant term

The grouping method of factoring can still be used when only some of the terms share a common factor A True B False

The sum or difference of p and q is the of the x-term in the trinomial

A number a power of a variable or a product of the two is a monomial while a polynomial is the of monomials

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Q: Difference between fourier series fourier transform discrete time fourier transform and DFT?
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What is the difference between discrete fourier transform and fast fourier transform?

discrete fourier transformer uses digital signals whereas the fast fourier transform uses both analog and digital.

What is the difference between fourier series and discrete fourier transform?

Fourier series is the sum of sinusoids representing the given function which has to be analysed whereas discrete fourier transform is a function which we get when summation is done.

What is the difference between the fourier laplace transform?

They are similar. In many problems, both methods can be used. You can view Fourier transform is the Laplace transform on the circle, that is |z|=1. When you do Fourier transform, you don't need to worry about the convergence region. However, you need to find the convergence region for each Laplace transform. The discrete version of Fourier transform is discrete Fourier transform, and the discrete version of Laplace transform is Z-transform.

Difference between dft and dtft?

DTFT is the Fourier Transform of a Discrete Signal. DFT is the sampled version of DTFT

Discrete fourier transform of an image in c code?

i want c code for fourier transform?

Why you use fast fourier transform?

The fast fourier transform, which was invented by Tukey, significantly improves the speed of computation of discrete fourier transform.

What is the difference between Fourier transform and Laplace transform and z transform?

Fourier transform and Laplace transform are similar. Laplace transforms map a function to a new function on the complex plane, while Fourier maps a function to a new function on the real line. You can view Fourier as the Laplace transform on the circle, that is |z|=1. z transform is the discrete version of Laplace transform.

Difference between fourier series and z-transform?

z transform is related to discrete time signal while fourier series is related to continuous time signal. z transform=sigmalm -infinty to +infinity x(n)z-n

What is the difference between Fourier transform and Wavelet transform?

wavelet transform is located in space whereas fourier cosine and sine functions are not.:)

Where is the Discrete Fourier Transform used?

The Discrete Fourier Transform is used with digitized signals. This would be used if one was an engineer as they would use this to calculate measurements required.

Difference between fourier Transform and Discrete time fourier transform?

fourier transform deals with continuous time non-periodic signals(if the input is continuous time periodic signal(time domain) then the output is continuous nonpeiodic signal (frequency domain)) DTFT-input-discrete time nonperoidic signal(time domain),output-continuous peroidic signal(frequency domain)

What is the full form of DFT?

Density Functional Theory Discrete Fourier Transform

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