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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
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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
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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
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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
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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
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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
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Digital Signal Processing Theory, method, algorithm Digital Signal Processor A kind of microprocessor used to implement digital signal processing algorithm
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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]}
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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]
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实验2离散系统的差分方程、冲激响应和卷积分析 实验目的:加深对离散系统的差分方程冲激响应和卷积分析方法 的理解。 实验原理:离散系统
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