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EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.

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Presentation on theme: "EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical."— Presentation transcript:

1 EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin Fourier Series

2 11 - 2 Course Outline Time domain analysis (lectures 1-10) Signals and systems in continuous and discrete time Convolution: finding system response in time domain Frequency domain analysis (lectures 11-16) Fourier series Fourier transforms Frequency responses of systems Generalized frequency domain analysis (lectures 17-26) Laplace and z transforms of signals Tests for system stability Transfer functions of linear time-invariant systems Roberts, ch. 1-3 Roberts, ch. 4-7 Roberts, ch. 9-12

3 11 - 3 Periodic Signals For some positive constant T 0 f(t) is periodic if f(t) = f(t + T 0 ) for all values of t  (- ,  ) Smallest value of T 0 is the period of f(t) A periodic signal f(t) Unchanged when time-shifted by one period May be generated by periodically extending one period Area under f(t) over any interval of duration equal to the period is same; e.g., integrating from 0 to T 0 would give the same value as integrating from –T 0 /2 to T 0 /2

4 11 - 4 Sinusoids Fundamental f 1 (t) = C 1 cos(2  f 0 t +   ) Fundamental frequency in Hertz is f 0 Fundamental frequency in rad/s is   = 2  f 0 Harmonic f n (t) = C n cos(2  n f 0 t +  n ) Frequency, n f 0, is nth harmonic of f 0 Magnitude/phase and Cartesian representations C n cos(n  0 t +  n ) = C n cos(  n ) cos(n  0 t) - C n sin(  n ) sin(n  0 t) = a n cos(n  0 t) + b n sin(n  0 t)

5 11 - 5 Fourier Series General representation of a periodic signal Fourier series coefficients Compact Fourier series

6 11 - 6 Existence of the Fourier Series Existence Convergence for all t Finite number of maxima and minima in one period of f(t) What about periodic extensions of

7 11 - 7 Example #1 Fundamental period T 0 =  Fundamental frequency f 0 = 1/T 0 = 1/  Hz  0 = 2  /T 0 =  rad/s 0  A f(t)f(t) -A

8 11 - 8 Example #2 Fundamental period T 0 =  Fundamental frequency f 0 = 1/T 0 = 1/(  Hz  0 = 2  /T 0 = 1 rad/s  1 f(t)f(t) 


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