Line 2: Line 2:
  
 
Equations**
 
Equations**
*<math>X(w) = \int{x(t)*exp(-jwt) dt }</math>
+
*<math>X(w) = \int{x(t)*e^{-jwt} dt }</math>
*<math>x(t) = (1/2pi)\int{X(w)*exp(jwt) dw }</math>
+
** <span style="color:green">Careful here: the symbol <math>~_*</math> is for convolution, not multiplication.</span>--[[User:Mboutin|Mboutin]] 20:18, 1 September 2009 (UTC)
 +
*<math>x(t) = (1/2pi)\int{X(w)*e^{jwt} dw }</math>
  
 
Duality Property
 
Duality Property
* <math>'''{x(t)-CTFT->X(f)}'''</math>
+
* <math>'''{x(t)\stackrel{\text{CTFT}}{\longrightarrow}X(f)}'''</math>
 
* <math>'''{X(t)-CTFT->x(-f)}'''</math>
 
* <math>'''{X(t)-CTFT->x(-f)}'''</math>
  

Revision as of 16:18, 1 September 2009

CTFT ( Continuous Time Fourier Transform )

Equations**

  • $ X(w) = \int{x(t)*e^{-jwt} dt } $
    • Careful here: the symbol $ ~_* $ is for convolution, not multiplication.--Mboutin 20:18, 1 September 2009 (UTC)
  • $ x(t) = (1/2pi)\int{X(w)*e^{jwt} dw } $

Duality Property

  • $ '''{x(t)\stackrel{\text{CTFT}}{\longrightarrow}X(f)}''' $
  • $ '''{X(t)-CTFT->x(-f)}''' $

Example

  • $ delta(t-t0) ->CTFT-> exp(-j2pi.f.t0) $
  • $ exp(j.2pi.f0t) -> CTFT -> delta(f-f0) $

Another Example:

  • $ rect(t) -> CTFT -> sinc(f) $
  • $ sinc(t) -> CTFT -> (rect(-f) = rect(f)) $

Cosine and Sine Functions

  • $ cos(t) = 0.5 . ( delta(f - f0) + delta(f + f0) ) $
  • $ sin(t) = 0.5 i .( delta(f + f0) - delta(f - f0)) $

Rept and Comb Functions

  • $ Rept(x(t)) = x(t) * sum(delta(t-kT)) $
  • $ Comb(x(t)) = x(t) . sum(delta(t-kT)) $



DTFT ( Discrete Time Fourier Transform )

  • $ X(w) = \sum{x(n)*exp(-jwn) dn } $
  • $ x(t) = (1/2pi)\int{X(w)*exp(jwt) dw } $
  • Note that x[n] is always periodic with 2pi

I will add more later.

Alumni Liaison

Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

Dr. Paul Garrett