8.0 引言 8.1 系统的状态空间描述 8.2 状态方程的建立 8.3 连续系统状态方程的解 8.4 离散系统状态方程的解 8.5 系统稳定性判别

一、选择题:(每小题4分,共40分) 每题给出四个备选答案,其中只有一个答案是正确的,请将正确答 案的标号(A或B或C或D)写在题号前的横线上。 1.积分e[(t)+(d等于 (A)-1(B)1(C)2(D)3 2.下列微分或差分方程所描述的系统,为线性时变系统的是: (a)y'(t)+3y(t)=f(t)+2f(t) (b)y(t)+(+t)y2(t)=f(t) (C)y(k)+(k-1)y(k-2)=f(k)(d)y(k)+2y(k-1)y(k-2)=f(k)

第1章时域离散信号和时域离散系统 1.1引言 1.2时域离散信号 1.3时域离散系统 1.4时域离散系统的输入输出描述法线性常系数差分方程 1.5模拟信号数字处理方法

第3章离散傅里叶变换(DFT) 3.1离散傅里叶变换的定义 3.2离散傅里叶变换的基本性质 3.3频率域采样 3.4DFT的应用举例

第5章时域离散系统的基本网络结构与 状态变量分析法 5.1引言 5.2用信号流图表示网络结构 5.3无奶长脉冲响应基本网络结构 5.4有限长脉冲响应基本网络结构 5.5状态变量分析法

第8章其它类型的数字滤波器 8.1.3最小相位系统 最小相位系统在工程理论中较为重要,下面给出最小相位系统的几个重要特点。(1)任何一个非最小相位系统的系统函数H(z)均可由一个最小相位系统Hmn(z)和一个全通系统Hap(z)级联而成,即(8.1.8) 证明假设因果稳定系统H(z)仅有一个零点在单位圆外,令该零点为z=1/z0,口z1,则H(z)可表示为

5.1 Digital Processing of Continuous-Time Signals Digital processing of a continuous-time signal involves the following basic steps: (1) Conversion of the continuous-time signal into discrete-time signal, ()Processing of the discrete-time signal, (3) Conversion of the processed discrete- time signal back into a continuous-time signal

Objective-Determination- of realizable transfer function G() approximating a given frequency response specification is an important step in the development of a digital filter If an IIR filter is desired, G() should be a stable real rational function Digital filter design is the process of deriving the transfer function G

2.1 Discrete-Time Signals: Time-Domain Representation Signals represented as sequences of numbers, called samples Sample value of a typical signal or sequence denoted as x[n] with n being an integer in the range-oo≤n≤∞ x[n] defined only for integer values of n and undefined for noninteger values of n Discrete-time signal represented by {x[n]}

1. Any arbitrary input sequence x[n] can be expressed as a linear combination of delaved and advanced unit sample sequences [n]=x[k][n-k] k=-0 2. .Linear Time-Invariant()System A system satisfying both the linearity and the time-invariance property. .If yiln] is the output due to an input xiln] and y2ln] is the output due to an input x2n] then for an input xn]=axiln]+bx2n] the output is given by ]=]+by2[n]