Signals and systems/GF Fourier: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
|||
Line 26: | Line 26: | ||
** Using L'Hopitals to evaluate the <math>\frac{T\cdot 0}{0}</math> case. Note that n & m are integers |
** Using L'Hopitals to evaluate the <math>\frac{T\cdot 0}{0}</math> case. Note that n & m are integers |
||
<math> \alpha_m = \frac{1}{T}\int_{-T/2}^{T/2} x(t) e^{{-j2\pi mt}/T} dt |
<math> \alpha_m = \frac{1}{T}\int_{-T/2}^{T/2} x(t) e^{{-j2\pi mt}/T} dt </math> |
||
== <math> \left \langle Bra \mid Ket \right \rangle </math> Notation == |
== <math> \left \langle Bra \mid Ket \right \rangle </math> Notation == |
Revision as of 21:23, 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
Notation
Linear Time Invariant Systems
Changing Basis Functions
Identities