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If x(t) has CTFS coefficients <math>a_k</math> and y(t) has CTFS coefficients <math>b_k</math>,
 
If x(t) has CTFS coefficients <math>a_k</math> and y(t) has CTFS coefficients <math>b_k</math>,
  
then the Fourier series coefficients <math>b_k</math> of the resulting signal y(t)=x(t-<math>t_0</math>)
+
then the Fourier series coefficients <math>b_k</math> of the resulting signal y(t) = x(t - <math>t_0</math>)
  
may be expressed as <math>b_k</math> = <math>\left ( \frac{1}{T} \right ) </math>
+
may be expressed as <math>b_k = \left ( \frac{1}{T} \right ) \int \limits_T x \left ( t - t_0 \right ) e^{-j k w_0 t}\, dt</math>.

Revision as of 02:41, 23 July 2009

CTFS Time Shifting Property

If x(t) has CTFS coefficients $ a_k $ and y(t) has CTFS coefficients $ b_k $,

then the Fourier series coefficients $ b_k $ of the resulting signal y(t) = x(t - $ t_0 $)

may be expressed as $ b_k = \left ( \frac{1}{T} \right ) \int \limits_T x \left ( t - t_0 \right ) e^{-j k w_0 t}\, dt $.

Alumni Liaison

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

Francisco Blanco-Silva