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*Fourier series of a continuous-time signal x(t) periodic with period T
 
*Fourier series of a continuous-time signal x(t) periodic with period T
  
:<math>x(t)=\sum_{n=-\infty}^\infty a_n e^{j \frac{2\pi}{T}nt}</math>
+
:<math>x(t)=\sum_{n=-\infty}^\infty a_n e^{j \frac{2\pi}{T}nt}</math>  <math>a_n=\frac{1}{T} \int_{0}^T x(t) e^{-j \frac{2\pi}{T}nt}dt</math>
  
 
*Fourier series coefficients of a continuous-time signal x(t) periodic with period T
 
*Fourier series coefficients of a continuous-time signal x(t) periodic with period T
  
 
:<math>a_n=\frac{1}{T} \int_{0}^T x(t) e^{-j \frac{2\pi}{T}nt}dt</math>
 
:<math>a_n=\frac{1}{T} \int_{0}^T x(t) e^{-j \frac{2\pi}{T}nt}dt</math>

Revision as of 05:38, 30 September 2010

Work in progress for a formula sheet?

  • Fourier series of a continuous-time signal x(t) periodic with period T
$ x(t)=\sum_{n=-\infty}^\infty a_n e^{j \frac{2\pi}{T}nt} $ $ a_n=\frac{1}{T} \int_{0}^T x(t) e^{-j \frac{2\pi}{T}nt}dt $
  • Fourier series coefficients of a continuous-time signal x(t) periodic with period T
$ a_n=\frac{1}{T} \int_{0}^T x(t) e^{-j \frac{2\pi}{T}nt}dt $

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva