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The representation of discrete-time signals in terms of imp The representation of discrete-time signals in terms of imp

The representation of discrete-time signals in terms of imp - PowerPoint Presentation

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The representation of discrete-time signals in terms of imp - PPT Presentation

Example The representation of discretetime signals in terms of impulse Convolution The representation of continuoustime signals in terms of impulse Properties of LIT systems Commutative property ID: 503931

equations difference constant coefficient difference equations coefficient constant linear time functions system lti singularity response discrete properties unit delay

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Presentation Transcript

Slide1

The representation of discrete-time signals in terms of impulse

ExampleSlide2

The representation of discrete-time signals in terms of impulse

ConvolutionSlide3

The representation of continuous-time signals in terms of impulse

Properties of LIT systems

Commutative property

Distributive propertySlide4

Properties of LIT systems

Associative property

Causality

for t<0.

for n<0.

StabilitySlide5

The unit step response of an LTI systemSlide6

The unit step response of an LTI systemSlide7

The unit step response of an LTI systemSlide8

Linear constant-coefficient difference equations

depends on x[n].

We don’t know y[n] unless x[n] is given.

But h[n] doesn’t depend on x[n]. We should be able to obtain h[n] without x[n].

How?

Discrete Fourier transform, --- Ch. 5.

LTI system response properties, this chapter.

+

delaySlide9

Linear constant-coefficient difference equations

When n

1,

Causality

+

delaySlide10

Linear constant-coefficient difference equations

+

delay

Determine A by initial condition:

When n = 0

,

A = 1Slide11

Linear constant-coefficient difference equations

Two ways:

(1) Repeat the procedure

(2)

+

delaySlide12

The unit step response of an LTI system, continuous timeSlide13

Linear constant-coefficient difference equations

depends on x(t).

We don’t know y(t) unless x(t) is given.

But h(t) doesn’t depend on x(t). We should be able to obtain h(t) without x(t).

How?

Continuous time Fourier transform.

LTI system response properties, this chapter.

+Slide14

Linear constant-coefficient difference equations

When t>0,

Determine A by initial condition:

Causality

+Slide15

Linear constant-coefficient difference equations

Determine A by initial condition:

A = 1

+Slide16

Linear constant-coefficient difference equations

+Slide17

Singularity functions

Define: Slide18

Singularity functionsSlide19

Singularity functions

k termsSlide20

Singularity functionsSlide21

Singularity functions --- discrete time

Define: Slide22

Singularity functions --- discrete time

Define: