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The Fourier Transform and its applications goals: present the Fourier ...

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<strong>The</strong> <strong>Fourier</strong> <strong>Transform</strong> <strong>and</strong> <strong>its</strong> <strong>applications</strong><br />

contents:<br />

● ma<strong>the</strong>matical basis<br />

– definition, properties, cos-, sine-transform<br />

– convolution, autocorrelation, power spectrum<br />

– often used functions (hat, sinc, ...), δ-function<br />

– FT <strong>the</strong>orems, properties of moments<br />

– periodic functions, <strong>Fourier</strong> series<br />

– discrete <strong>Fourier</strong> transform, FFT<br />

– FT in higher dimensions, cylinder-, spherical coordinates<br />

● signal processing: filtering, sampling, reconstruction<br />

● statistics: mean/variance,central limit <strong>the</strong>orem, noise, correlation <strong>and</strong> drift<br />

● optics: diffraction, antenna <strong>the</strong>orem, interferometry<br />

<strong>The</strong> <strong>Fourier</strong> <strong>Transform</strong> <strong>and</strong> <strong>its</strong> Applications, Jürgen Stutzki, Sommersemester 2007<br />

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