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DSP First, 2/e Lecture 15 DSP First, 2/e Lecture 15

DSP First, 2/e Lecture 15 - PowerPoint Presentation

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DSP First, 2/e Lecture 15 - PPT Presentation

DTFT DiscreteTime Fourier Transform Aug 2016 20032016 JH McClellan amp RW Schafer 2 License Info for DSPFirst Slides This work released under a Creative Commons License with the following terms ID: 636500

2003 2016 amp mcclellan 2016 2003 mcclellan amp schafer aug dtft time discrete transform fourier function sinc frequency work

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Slide1

DSP First, 2/e

Lecture 15

DTFT: Discrete-Time

Fourier TransformSlide2

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

2

License Info for

DSPFirst

Slides

This work released under a

Creative Commons License

with the following terms:

Attribution

The licensor permits others to copy, distribute, display, and perform the work. In return, licensees must give the original authors credit.

Non-Commercial

The licensor permits others to copy, distribute, display, and perform the work. In return, licensees may not use the work for commercial purposes—unless they get the licensor's permission.

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Full Text of the License

This (hidden) page should be kept with the presentationSlide3

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

3

READING ASSIGNMENTS

This Lecture:

Chapter 7, Section

7-1Slide4

Lecture Objective

Generalize the Frequency Response

Introduce

DTFT, discrete-time Fourier transform, for discrete time sequences that may not be finite or periodic

Establish general concept of “frequency domain” representations and

spectrum that is a continuous function of (normalized) frequency – not necessarily just a line spectrumAug 2016

© 2003-2016, JH McClellan & RW Schafer

4Slide5

The Frequency Response

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

5

LTI

SystemSlide6

Discrete-Time Fourier Transform

Definition of the

DTFT

:Forward DTFT

Inverse DTFTAlways periodic with a period of 2

Aug 2016© 2003-2016, JH McClellan & RW Schafer

6Slide7

What is a Transform?

Change problem from one domain to another to make it easier

Example:

PhasorsSolve simultaneous sinusoid equations (hard)

Invert a matrix of phasors (easy)Has to be invertible

Transform into new domainReturn to original domain (inverse must be unique)Aug 2016

© 2003-2016, JH McClellan & RW Schafer

7Slide8

Periodicity of DTFT

For any integer m:

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

8

1Slide9

Existence of DTFT

Discrete-time Fourier transform (DTFT) exists – provided that the sequence is

absolutely-

summable

DTFT applies to discrete time sequences,

x[n], regardless of length (if x[n] is absolute summable

)

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

9Slide10

DTFT of a Single Sample

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

10

Unit Impulse functionSlide11

Delayed Unit Impulse

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

11

Generalizes to the

delay propertySlide12

DTFT of Right-Sided Exponential

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

12Slide13

Plotting: Magnitude and Angle Form

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

13Slide14

Magnitude and Angle Plots

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

14Slide15

Inverse DTFT ?

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

15Slide16

SINC Function:

A “

sinc

” function or sequence

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

16Slide17

SINC Function from the inverse DTFT integral

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

17

Given a “

sinc

” function or sequence

Consider an ideal band-limited signal:

Discrete-time Fourier Transform PairSlide18

SINC Function – Rectangle DTFT pair

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

18Slide19

DTFT of Rectangular Pulse

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

19

A “

rectangular” sequence of length L

Discrete-time Fourier Transform Pair

Dirichlet

Function:Slide20

Summary of DTFT Pairs

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

20

Right-sided

Exponential

sinc

function

is

Bandlimited

Delayed ImpulseSlide21

Using the DTFT

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

21

The DTFT provides a

frequency-domain

representation that is invaluable for thinking about signals and solving DSP problems.

To use it effectively you must

know

PAIRS

: the Fourier transforms of certain important signals

know

properties

and certain key

theorems

be able to combine time-domain and frequency domain methods appropriatelySlide22

Summary

Aug 2016

© 2003-2016, JH McClellan & RW Schafer

22

Discrete-time Fourier Transform (DTFT)

Inverse Discrete-time Fourier Transform