SUWA D2H2 E-medicine
Transcript of SUWA D2H2 E-medicine
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 ...
Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems
Unit Impulse Response
3Chapter 2 Review
Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems
Response of DT LTI Systems4
impulse
Chapter 2 Review
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
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)
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)
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
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
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?
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
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)
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
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]
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)
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)
Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems
Properties: Associative21
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
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
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
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
Linear Time-Invariant Systems Signals and SystemsLinear Time-Invariant Systems Signals and Systems
Integrators30
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
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
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
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]