SUWA D2H2 E-medicine

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Linear Time-Invariant Systems Signals and Systems Linear Time-Invariant Systems Signals and Systems Notes Assignment 2.10 2.11 2.22 (b) (e) 2.25 2.28 (a) (c) (e) (g) Tutorial questions this week (Week 4) Basic Problems with Answers 2.20 Basic Problems 2.29 Advanced Problems 2.40, 2.43, 2.47 1

Transcript of SUWA D2H2 E-medicine

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Notes Assignment

2.102.112.22 (b) (e)2.252.28 (a) (c) (e) (g)

Tutorial questions this week (Week 4)Basic Problems with Answers 2.20Basic Problems 2.29Advanced Problems 2.40, 2.43, 2.47

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

2Chapter 2 ReviewThat is ...

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Unit Impulse Response

3Chapter 2 Review

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Response of DT LTI Systems4

impulse

Chapter 2 Review

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

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∑∞

−∞=

−=k

knhkxny ][][][

Contribution to the output signal at time n

input signal

flipped version of h[k] located at k = n

Chapter 2 Review

F S M S

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Construction of the Unit-impulse function δ(t)

6Chapter 1 Review

Area=1𝛿𝛿 𝑡𝑡 = lim

Δ→0𝛿𝛿Δ(𝑡𝑡)

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Representation of CT Signals

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𝑥𝑥 𝑡𝑡 = limΔ→0

�𝑥𝑥(𝑡𝑡)

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

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𝑥𝑥 −2Δ 𝛿𝛿Δ 𝑡𝑡 + 2Δ Δ

𝑥𝑥 −Δ 𝛿𝛿Δ 𝑡𝑡 + Δ Δ

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Representation of CT Signals (cont.)9

?𝑥𝑥 𝑘𝑘Δ 𝛿𝛿Δ 𝑡𝑡 − 𝑘𝑘Δ Δ

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

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Input: 𝑥𝑥 𝑛𝑛 = ∑𝑘𝑘=−∞+∞ 𝑥𝑥 𝑘𝑘 𝛿𝛿[𝑛𝑛 − 𝑘𝑘] 𝑥𝑥 𝑡𝑡 = ∫−∞+∞𝑥𝑥 𝜏𝜏 𝛿𝛿 𝑡𝑡 − 𝜏𝜏 𝑑𝑑𝜏𝜏

LTI: 𝛿𝛿 𝑛𝑛 → ℎ[𝑛𝑛]

Output: y 𝑛𝑛 = ∑𝑘𝑘=−∞+∞ 𝑥𝑥 𝑘𝑘 ℎ[𝑛𝑛 − 𝑘𝑘]

How to calculate the output of CT LTI systems?

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Unit Impulse Response

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Response of a CT LTI System12

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Response of a CT LTI System

x(t) y(t)CT LTI

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

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Input: 𝑥𝑥 𝑛𝑛 = ∑𝑘𝑘=−∞+∞ 𝑥𝑥 𝑘𝑘 𝛿𝛿[𝑛𝑛 − 𝑘𝑘] 𝑥𝑥 𝑡𝑡 = ∫−∞+∞𝑥𝑥 𝜏𝜏 𝛿𝛿 𝑡𝑡 − 𝜏𝜏 𝑑𝑑𝜏𝜏

LTI: 𝛿𝛿 𝑛𝑛 → ℎ[𝑛𝑛] 𝛿𝛿 𝑡𝑡 → ℎ(𝑡𝑡)

Output: y 𝑛𝑛 = ∑𝑘𝑘=−∞+∞ 𝑥𝑥 𝑘𝑘 ℎ[𝑛𝑛 − 𝑘𝑘] y 𝑡𝑡 = ∫−∞+∞𝑥𝑥 𝜏𝜏 ℎ 𝑡𝑡 − 𝜏𝜏 𝑑𝑑𝜏𝜏

Summary

= 𝑥𝑥 𝑛𝑛 ∗ ℎ 𝑛𝑛 = 𝑥𝑥 𝑡𝑡 ∗ ℎ(𝑡𝑡)

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

0−2𝑇𝑇h(- 𝜏𝜏)

15h(𝜏𝜏)

𝑦𝑦 𝑡𝑡 = 𝑥𝑥 𝑡𝑡 ∗ ℎ 𝑡𝑡 = �−∞

+∞

𝑥𝑥 𝜏𝜏 ℎ 𝑡𝑡 − 𝜏𝜏 𝑑𝑑𝜏𝜏

2T

𝜏𝜏2T

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Flip, slide, multiply, and integrate

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

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One Important Convolution𝑥𝑥 𝑡𝑡 ∗ 𝛿𝛿 𝑡𝑡 − 𝑎𝑎

= �−∞

+∞𝑥𝑥 𝜏𝜏 𝛿𝛿 𝑡𝑡 − 𝜏𝜏 − 𝑎𝑎 𝑑𝑑𝜏𝜏

=∫−∞+∞𝑥𝑥 𝑡𝑡 − 𝑎𝑎 𝛿𝛿 𝑡𝑡 − 𝜏𝜏 − 𝑎𝑎 𝑑𝑑𝜏𝜏

= 𝑥𝑥 𝑡𝑡 − 𝑎𝑎 �−∞

+∞𝛿𝛿 𝑡𝑡 − 𝜏𝜏 − 𝑎𝑎 𝑑𝑑𝜏𝜏

= 𝑥𝑥(𝑡𝑡 − 𝑎𝑎)

Similarly, 𝑥𝑥 𝑛𝑛 ∗ 𝛿𝛿 𝑛𝑛 − 𝑘𝑘 = 𝑥𝑥[𝑛𝑛 − 𝑘𝑘]

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Property: Commutative

The role of input signal and unit impulse response is interchangeable, giving the same output signal

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h(t)x(t)

x(t)h(t)

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Property: Distributive

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Property: Distributive (Cont.)

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1 2 1 2[ ( ) ( )] ( ) ( ) ( ) ( ) ( )x t x t h t x t h t x t h t+ ∗ = ∗ + ∗

Problem 2.22 (b)( ) ( ) 2 ( 2) ( 5)x t u t u t u t= − − + −

2( ) (1 )th t e u t= −

0 2 5

x(t)

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Properties: Associative21

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Properties: Associative (Cont.)

The order in which non-linear systems are cascaded cannot be changed.

e.g.

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y=2x y=x2

y=x2 y=2x

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Property: Memory/Memoryless

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Property: Invertibility

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Property: Causality

This is because that the input unit impulse function δ(t)=0 at t<0

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t – τ ≥ 0, or τ ≤ t

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Property: Stability

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Differentiator

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Triplets and beyond!28

𝑑𝑑𝑑𝑑𝑡𝑡

𝑑𝑑𝑑𝑑𝑡𝑡

𝑑𝑑𝑑𝑑𝑡𝑡

…𝑥𝑥(𝑡𝑡)𝑑𝑑𝑛𝑛𝑥𝑥 𝑡𝑡𝑑𝑑𝑡𝑡𝑛𝑛

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Unit Step Response

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unit step function unit step response

The relation between unit step function and unit impulse function( )( ) '( )( )

ds th t s td t

= =

h(t)

h(t)

x(t)=δ(t)

x(t)=u(t)

h(t): unit impulse response

s(t): unit step response

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Integrators30

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Integrators (Cont.)

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Notation32

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

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Problem 2.391( ) ( ) / 4 ( )2

y t dy t dt x t= − +

( ) / 3 ( ) ( )dy t dt y t x t+ =

Block diagram representation - CT

+

d/dt

𝑥𝑥1(𝑡𝑡)𝑥𝑥2(𝑡𝑡)

𝑥𝑥1 𝑡𝑡 + 𝑥𝑥2(𝑡𝑡)

𝑥𝑥1(𝑡𝑡) 𝑎𝑎𝑥𝑥1(𝑡𝑡)𝑎𝑎

𝑥𝑥1(𝑡𝑡)𝑑𝑑𝑥𝑥1 𝑡𝑡𝑑𝑑𝑡𝑡

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

Block diagram representation - DT

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Problem 2.381 1[ ] [ 1] [ ]3 2

y n y n x n= − +

1[ ] [ 1] [ 1]3

y n y n x n= − + −

+

D

𝑥𝑥1[𝑛𝑛]𝑥𝑥2[𝑛𝑛]

𝑥𝑥1[𝑛𝑛] + 𝑥𝑥2[𝑛𝑛]

𝑥𝑥1[𝑛𝑛] 𝑎𝑎𝑥𝑥1[𝑛𝑛]𝑎𝑎

𝑥𝑥1[𝑛𝑛] 𝑥𝑥1 𝑛𝑛 − 1

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Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems

From block diagram to difference equation

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x[n] y[n]