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Signals and Systems Lecture 13

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1 Signals and Systems Lecture 13
Convolution Property Basic Fourier Transform Pairs

2 Chapter 3 Fourier Series
Fourier Series and LTI Systems

3 ( ) w j H X Y = Chapter 4 Fourier Transform
§4.4 The Convolution Property ( ) w j H X Y =

4 Chapter 4 Fourier Transform
LPF filter Series Systems The Frequency response cannot be defined for every LTI system.

5 Chapter 4 Fourier Transform
Example 4.15 Linear Phase Example 4.16

6 Chapter 4 Fourier Transform
Example 4.17 This is an unstable system.

7 Chapter 4 Fourier Transform
Example 4.18 1. Ideal LPF filter Not a causal system Not easy to implement Oscillatory behavior may be unaccepted

8 Chapter 4 Fourier Transform
2. Causal LPF filter

9 Chapter 4 Fourier Transform
The usefulness of the Convolution Property Example 4.19 Solution

10 Chapter 4 Fourier Transform
Example 4.20

11 Chapter 4 Fourier Transform
The Fourier Analysis of periodic signals

12 - Chapter 4 Fourier Transform 例 图1所示的LTI系统中,子系统的频率响应分别如图2和图3 所示。
⑴ 试求整个系统的频率响应; ⑶ 若输入信号 ,试求系统的输出。 + - 图1 图2 图3

13 §4.7 Frequency-domain analysis of LTI systems
Chapter Fourier Transform §4.7 Frequency-domain analysis of LTI systems LTI系统的频域分析 1. Stable System 2. Linear Constant-Coefficients Differential Equations

14 Frequency Response of LTI Systems
Chapter Fourier Transform Frequency Response of LTI Systems

15 ——Strictly proper rational function
Chapter Fourier Transform 3. Partial-Fraction Expansion ——Strictly proper rational function 真分式 真分式

16 Determine the unit impulse response
Chapter Fourier Transform 真分式的部分分式展开(P909) ① 分母具有n个不同的单根 Example 4.25 Consider a stable LTI system Determine the unit impulse response

17 Chapter 4 Fourier Transform
可用数学归纳法证明:

18 Chapter 4 Fourier Transform
Example 4.25 Consider the LTI system If the input ,determine the output

19 Chapter 4 Fourier Transform
Example Determine the unit impulse response of the LTI system

20 Excise 4.33(P345) Chapter 4 Fourier Transform (a) Because then
(b) Because and , so

21 h(t):Partial-Fraction Expansion
Chapter Fourier Transform Summary Convolution Property and Filtering Ideal LPF and Filter Design Calculation of H(jω) and h(t) h(t):Partial-Fraction Expansion

22 Readlist Signals and Systems: Question: 4.5,Chapter8
Implement of Communication Systems

23 Problem Set 4.34 4.35


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