Signals and systems/GF Fourier: Difference between revisions
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<math> \alpha_{-m} = \alpha^* \,</math> |
<math> \alpha_{-m} = \alpha^* \,</math> |
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<math> \int_{-\infty}^{\infty} \phi_n (t) \phi_m^* (t) dt = 0</math> Implies orthogonality |
Revision as of 22:06, 29 October 2006
Fourier series
The Fourier series is used to analyze arbitrary periodic functions by showing them as a composite of sines and cosines.
A function is considered periodic if for .
The exponential form of the Fourier series is defined as
Determining the coefficient
- The definition of the Fourier series
- Integrating both sides for one period. The range of integration is arbitrary, but using scales nicely when extending the Fourier series to a non-periodic function
- Multiply by the complex conjugate
- Using L'Hopitals to evaluate the case. Note that n & m are integers
Linear Time Invariant Systems
Must meet the following criteria
- Time independance
- Linearity
- Superposition (additivity)
- Scaling (homogeneity)
Complex Conjugate
Changing Basis Functions
Identities
Implies orthogonality