yy mdsp 1.ppt

现代数字信号处理
Modern Digital Signal Processing
puter-based Approach
2018/10/30
课程内容和意义
课程内容
离散随机信号
功率谱估计
最佳线性滤波
小波变换
课程意义
为众多信号处理的应用领域打下理论基础,包括通信、声学、图像、雷达、声纳、生物医学、地球物理等领域的信号处理
2018/10/30
前导课程相关课程
数字信号处理
概率论,随机信号分析
线性代数
统计信号处理
检测与估计
图像处理
模式识别
2018/10/30
参考资料
姚天任,孙洪现代数字信号处理华中理工大学出版社,1999
Sanjit K Mitra Digital Signal Processing——puter-based Approach 孙洪等译,电子工业出版社,2005年
孙贤达现代信号处理,清华大学出版社2003
2018/10/30
第一章回顾 DSP(1)
Discrete-Time Signal
Be represented by a sequence
n is integer valued , represents an order of discrete sequence in times, - n ,
Specifically
The arrow is placed under the sample at time index n = 0
2018/10/30
第一章回顾 DSP(1)
Discrete-Time System
Discrete-time system
x(n)
y(n)
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第一章回顾 DSP(1)
MATLAB实验(1-1)1. 利用MATLAB产生以下序列,并绘出离散图
2. 设线性时不变系统的冲激响应和输入序列分 别为
试求该系统的输出响应,并绘图
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第一章回顾 DSP(1)
Frequency Spectrum Analysis
Digital Filtering
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第一章回顾 DSP(1)
Fourier Transform
An excellent mathematic tool used in signal processing
It was presented by Fourier, a French mathematician in his research literature (The Analytic Theory of Heat) in 1822
As a mathematic tool, Fourier transform can provide an effective approach to solve problems confronted in signal processing including feature extraction, signal filtering, and pression …
2018/10/30
第一章回顾 DSP(1)
Fourier Transform
is a non-periodic signal of finite energy
 is analog angular frequency
Inverse Fourier Transform
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