一、傅立叶变换 一离散时间傅立叶变换(Discrete-Time- Fourier Transform,DTFT)(定义、收敛条件、性质)离散傅立叶变换( Discrete Fourier Transform,DFT)(定义、性质) 二、Z变换(定义、收敛条件、逆变换、性质)

9.0 Introduction 9.1 Direct Computation Of The Discrete Fourier Transform 9.2 decimation-in-time FFT Algorithms 9.3 decimation-in-frequency FFT Algorithms 9.4 practical considerations

4.0 Introduction 4.1 Periodic Sampling 4.2 Frequency-Domain Representation of Sampling 4.3 Reconstruction of a Bandlimited Signal from its Samples 4.4 Discrete-Time Processing of Continuous Time signals 4.5 Continuous-time Processing of Discrete Time Signal

Z-Transform The DTFT provides a frequency-domain representation of discrete-time signals and LTI discrete-time systems Because of the convergence condition, in many cases. the DTFT of a sequence may not exist As a result, it is not possible to make use of such frequency-domain characterization in these cases

TOSHIBA Semiconductor Company Discrete semiconductor Division 2003 Dec DP054001101

with x(0)=I exist and are unique on the time interval t E [ 0, 1] for allTER\.Then discrete time system(4. 1)with f(5)=r(, i)describes the evolution of continuous time system(4.)at discrete time samples. In particular, if a is continuous then so is f Let us call a point in the closure of X locally attractive for system(4. 1)if there exists

Expectations and Conditional Expectations Definition 1 Discrete Random Variable random wariable is discrete f the set of outcomes is either finite in number or countably

深圳大学管理学院：《运筹学》课程教学资源（PPT课件讲稿）专题（计算机仿真）Discrete-Event仿真模型与分析 A Brief Introduction to Discrete-Event Simulation Modeling and Analysis

2.1 The Continuous-Time Fourier Transform 2.2 The Discrete-Time Fourier transform 2.3 the discrete-time periodic sequences in the frequency-domain 2.4 Relationship of DTFT and FT 2.5 Z-Transform

1 The Foundations: Logic and Proofs 2 Basic Structures: Sets, Functions, Sequences, Sums, and Matrices 3 Algorithms 4 Number Theory and Cryptography 5 Induction and Recursion 6 Counting 7 Discrete Probability 8 Advanced Counting Techniques 9 Relations 10 Graphs 11 Trees 12 Boolean Algebra 13 Modeling Computation