4.1 LTI Discrete-Time Systems in the Transform Domain · Such transformdomain- representations provide additional insight into the behavior of such systems It is easier to design and implement these systems in the transform-domain for certain applications We consider now the use of the DtFt and the z-transform in developing the transform- domain representations of an LTI system

一、直接计算DFT的问题及改进途径 二 、按时间抽选的基-2FFT算法 三 、按频率抽选的基-2FFT算法 四 、IFFT算法

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]

实验4离散系统的频率响应分析和零、极点分布 实验目的:加深对离散系统的频率响应分析和零、极点分布的概念 理解。 实验原理:离散系统的时域方程为 (n-k)=(n-k) 其变换域分析方法如下:

§5.1 Digital Processing of Continuous-Time Signals §5.2 Sampling of Continuous-time Signals §5.3 Effect of Sampling in the Frequency Domain §5.4 Recovery of the Analog Signal §5.6 Sampling of Bandpass Signals §5.7 Analog Lowpass Filter Specifications §5.8 Analog Lowpass Filter Design

§7.2 Selection of Filter Type §7.3 Digital Filter Design: Basic Approaches §7.4 IIR Digital Filter Design: Bilinear Transformation Method §7.5 Low pass FIR filter design §7.6 Fixed Window Functions §7.7 Design Steps for Windowed Low Pass FIR Filters

§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

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

第三章离散 Fourier变换(DFT) 主要内容: 一、离散傅立叶变换的定义 二、离散傅立叶变换的基本性质 三、频率域采样 四、DFT的应用

第三章离散傅立叶变换FT 3.0引言 3.1离散傅立叶变换的定义 3.2频率抽样理论 3.3离散傅立叶变换(DFT)的定理和性质 3.4DFt应用举例