Fourier transform
Harmonic analysis, distributions, convolution
Article REF: A142 V1
Fourier transform
Harmonic analysis, distributions, convolution

Author : Thomas LACHAND-ROBERT

Publication date: November 10, 1993 | Lire en français

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4. Fourier transform

We now turn to the Fourier transform, the very basis of modern harmonic analysis. We are still working in the space N , although in practice we often have N = 1; our notations, however, are designed to make very little difference to this simpler case (see the paragraph on notations): for there is no additional difficulty in the general case.

The Fourier transformation makes extensive use of the complex exponential, so it's worth recalling its basic properties. The exponential of a complex number c = a + ib can be defined from the sum of a series, or more simply using the real exponential, cosine and sine functions, by the formula :

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