Download presentation

Presentation is loading. Please wait.

Published byMagnus Perkins Modified over 5 years ago

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 Transform Properties

2
13 - 2 0 1 /2- /2 t f(t)f(t) 0 F()F() Duality Forward/inverse transforms are similar Example: rect(t/ ) sinc( / 2) Apply duality sinc(t /2) 2 rect(- / ) rect(·) is even sinc(t /2) 2 rect( / )

3
13 - 3 Scaling Given and that a 0 |a| > 1: compress time axis, expand frequency axis |a| < 1: expand time axis, compress frequency axis Extent in time domain is inversely proportional to extent in frequency domain (a.k.a bandwidth) f(t) is wider spectrum is narrower f(t) is narrower spectrum is wider

4
13 - 4 Shifting in Time Shift in time Does not change magnitude of the Fourier transform Shifts phase of Fourier transform by - t 0 (so t 0 is the slope of the linear phase) Derivation Let u = t – t 0, so du = dt and integration limits stay same

5
13 - 5 Sinusoidal Amplitude Modulation

6
13 - 6 Sinusoidal Amplitude Modulation Example: y(t) = f(t) cos( 0 t) f(t) is an ideal lowpass signal Assume 1 << 0 Demodulation (i.e. recovery of f(t) from y(t)) is modulation followed by lowpass filtering Similar derivation for modulation with sin( 0 t) 0 1 -- F()F() 0 Y()Y() - - - + F - + F

7
13 - 7 Frequency-shifting Property

8
13 - 8 Time Differentiation Property Conditions f(t) 0 when |t| f(t) is differentiable Derivation of property: Given f(t) F( )

9
13 - 9 Time Integration Property Example:

10
13 - 10 Summary Definition of Fourier Transform Two ways to find Fourier Transform Use definition Use transform pairs and properties

Similar presentations

© 2021 SlidePlayer.com Inc.

All rights reserved.

To make this website work, we log user data and share it with processors. To use this website, you must agree to our Privacy Policy, including cookie policy.

Ads by Google