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Signals and Systems: Chapter 6 DiscreteTime System

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Jingxian Wu wuj@uark.edu These slides are taken from Dr.. Jingxian Wu, University of Arkansas, 2020.. EE 2000 SIGNALS AND SYSTEMS... STSTEM: COMBINATION OF SYSTEMS• Combination of system

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ELEG 3124 Signals & Systems

Ch 6 Discrete-Time System

Dr Jingxian Wu

wuj@uark.edu

(These slides are taken from Dr Jingxian Wu, University of Arkansas, 2020.)

EE 2000 SIGNALS AND SYSTEMS

Trang 2

1 )

x

Trang 3

1 2

1 lim

– Energy signal: E  

– Power signal: P  

Trang 4

) ( n x n N

3 cos(  n

Trang 5

SIGNAL: ELEMENTARY SIGNAL

• Unit impulse function

, 0 ,

0

,

1 )

(

n

n n

, 0 ,

1

,

0 )

(

n

n n

u

• Relation between unit impulse function and unit step

function

) 1 (

) ( )

Trang 6

SIGNAL: ELEMENTARY SIGNAL

• Exponential function

) exp(

) cos(

) exp(

) ( n j 0n 0n j 0n

Trang 7

• Discrete-time signals

• Discrete-time systems

• Z-transform

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SYSTEM: IMPULSE RESPONSE

• Impulse response of LTI system

– The response of the system when the input is  (n )

)()

(n n

x =

System

)()

(n h n

• System response for arbitrary input

– Any signal can be decomposed as the sum of time-shifted impulses

) (

) ( )

System

)(n k

h

– Time invariant

– Linear

)(

)(k n k x

)(k h n k x

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SYSTEM: CONVOLUTION SUM

• Convolution sum

– The convolution sum of two signals and is x (n ) h (n )

)(

)()

()

(n h n x k h n k x

• Response of LTI system

– The output of a LTI system is the convolution sum of the input and the impulse response of the system

(n h n

LTI system

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SYSTEM: CONVOLUTION SUM

( n h n x

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SYSTEM: CONVOLUTION SUM

• Example:

– Let be two

sequences, find

], 1 , 1 , 0 , 2 , 1 [ )

h

] 2 , 1 , 3 , 1 [ ) ( n = − −

x

) ( )

( n h n

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STSTEM: COMBINATION OF SYSTEMS

• Combination of systems

➔

Two systems in series

Two systems in parallel

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SYSTEM: DIFFERENCE EQUATION REPRESENTATION

• Difference equation representation of system

k

a

0 0

) (

) (

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• Discrete-time signals

• Discrete-time systems

• Z-transform

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• Bilateral Z-transform

n n

z n x z

• Unilateral Z-transform

n n

z n x z

(

• Z-transform:

– Ease of analysis– Doesn’t have any physical meaning (the frequency domain representation of discrete-time signal can be obtained through discrete-time Fourier transform)

– Counterpart for continuous-time systems: Laplace transform

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• Region of convergence (ROC)

Region of convergence

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Z-TRANSFORM: CONVERGENCE

• Convergence of causal signal

) ( )

( n u n

• Convergence of anti-causal signal

) 1 (

) ( n = un

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Z-TRANSFORM: TIME SHIFTING PROPERTY

0 0

0 ( ) ( ) )

(

n

m

m n

n

z m x z

z X z n

n x Z

m n

n

z m x z

z X z n

n x Z

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Z-TRANSFORM: LTI SYSTEM

) (

– Z-domain representation

) ( )

(

0 0

z X z

b z

Y z

a

M

k

k k N

M

k

k k

z a

z b z

X

z

Y z

H

0

0

) (

)

( )

(

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Z-TRANSFORM: LTI SYSTEM

• Example

– Find the transfer function of the system described by the following

difference equation

) 1

( 2

1 ) ( )

2 (

2 ) 1 (

2 ) ( ny n − + y n − = x n + x n

y

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Z-TRANSFORM: STABILITY

• Stability

a z

z z

H

= )

– A LTI system is BIBO stable is all the poles are within the unit

circle (|a| < 1)– A LTI system is unstable is at least one pole is on or outside of the

unit circult ( )| a |  1

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