§3.1 Discrete-Time Fourier Transform §3.2 DTFT Properties §3.3 Discrete Fourier Transform (DFT) §3.5 Circular Shift of a Sequence §3.6 Circular Convolution §3.7 z-transform §3.8 z-Transform Properties §3.9 Discrete Fourier Transform Computation

2.0 Introduction 2.1 Discrete-Time Signals: Sequences 2.2 Discrete-Time Systems 2.3 Linear Time-Invariant (LTI) Systems 2.4 Properties of LTI Systems 2.5 Linear Constant-Coefficient Difference Equations 2.6 Frequency-Domain Representation of Discrete-Time Signals and systems 2.7 Representation of Sequences by Fourier Transforms 2.8 Symmetry Properties of the Fourier Transform 2.9 Fourier Transform Theorems 2.10 Discrete-Time Random Signals 2.11 Summary

14-8 Definition of the Fourier transform The exponential form of the Fourier series

◆2.1 Discrete-Time Signals: Sequences ◆2.2 Discrete-Time Systems ◆2.3 Linear Time-Invariant (LTI) Systems ◆2.4 Properties of LTI Systems ◆2.5 Linear Constant-Coefficient Difference Equations ◆2.6 Frequency-Domain Representation of Discrete￾Time Signals and systems ◆2.7 Representation of Sequences by Fourier Transforms ◆2.8 Symmetry Properties of the Fourier Transform ◆2.9 Fourier Transform Theorems ◆2.10 Discrete-Time Random Signals

Dirichlet 积分 仔细观察上一节中的几幅图像后可以得到这样的直觉：对于一般 的以2π为周期的函数 f x( )，除了个别点之外（看来是不连续点），当 m → ∞ 时，它的 Fourier 级数的部分和函数序列{ m xS )( }

一、周期为 2L 的周期函数展开成 Fourier 级数 前面我们所讨论的都是以 2为周期的函数 展开成Fourier 级数，但在科技应用中所遇到的 周期函数大都是以 T 为周期，因此我们需要讨论 如何把周期为T = 2 l 的函数展开为Fourier级数 若f ( t )是以T = 2 l 为周期的函数，在[ -l , l ) 上满足Dirichlet 条件

Integral Transformation General concept of the integraltransformation Fundamental ideas of The method ofIntegral Transformation Fourier Transforms of wave problems Fourier Transforms of heat problems Fourier Transforms of steadyproblems Conclusion of this charter

Department of Electrical Engineering and Computer Science 6.003: Signals and Systems-Fall 2003 Thursday, November 13. 2003 Directions: The exam consists of 5 problems on pages 2 to 19 and additional work space on pages 20 and 21. Please make sure you have all the pages. Tables of Fourier series properties as well as CT Fourier transform and DT Fourier transform properties and pairs are supplied to you as a separate set of pages. Enter all your work and

短时Fourier变换(STFT)在分析非平稳信号的过程中,受调制系数的影响,时频分布图中的能量扩散至主导频率的周围,降低了时频分布的可读性.运用STFT分析瞬时频率缓变或恒定的信号时,调制系数的影响较小甚至可以忽略不计,而得到能量聚集程度很高的时频分布.根据这一特点,提出了迭代广义短时Fourier变换(IG-STFT),该方法有效改善了时频图的可读性.首先运用迭代广义解调分离出频率恒定的单分量成分,然后运用STFT分析信号的时频分布,最后依据STFT的分析结果和相位函数得到原信号的时频分布.通过行星齿轮箱仿真信号和实验信号分析,验证了该方法在分析非平稳信号中的有效性,准确诊断了齿轮故障

其它展开 一、周期为2L的周期函数展开成 Fourier级数 前面我们所讨论的都是以2为周期的函数 展开成 Fourier级数,但在科技应用中所遇到的 周期函数大都是以T为周期,因此我们需要讨论 如何把周期为T=2l的函数展开为 Fourier级数 若f(t)是以T=2l为周期的函数,在[-l,l) 上满足 Dirichlet条件