一、傅立叶变换－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）

一、滤波器的图示及分析 二、等效结构 三、基本的FIR滤波器结构 四、基本的IIR滤波器结构 五、基本结构的MATLAB实现 六、全通滤波器 七、IIR和FIR的格型结构

一、预备知识 二、双线性变换 三、低通IIR滤波器设计 四、高通、带通、带阻IIR数字滤波器设计 五、IIR滤波器的谱变换 六、基于加窗傅立叶级数的FIR滤波器设计 七、数字滤波器的计算机辅助设计 八、用Matlab进行数字滤波器设计

Discrete-Time Systems A discrete-time system processes a given input sequence x[] to generates an output sequencey[n] with more desirable properties In most applications, the discrete-time system is a single-input, single-output system:

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 Copyright C 2001, S K. Mitra

the Transform Domain An LTI discrete-time system is completely characterized in the time-domain by its impulse response {h[n]} We consider now the use of the DTFT and the z-transform in developing the transform￾domain representations of an LTI system

Stability Condition in Terms of the Pole Locations A causal LTI digital filter is BIBO stable if and only if its impulse response h[n] is absolutely summable, i.e., We now develop a stability condition in terms of the pole locations of the transfer function H(z)

Time-Domain Representation Signals are 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 x[n] defined only for integer values of n and undefined for non-integer values of n

一.C54X汇编工具的使用 C54X的源程序可以使用汇编或C语言编 写。使用汇编语言是可以使用助记符 指令集(Mnemonic Instruction Set )或代数指令集(Algebraic Instruction Set),但两种不能混用

1.为什么用DSP 2.DSP特点 3.DSP的种类 4.TI的DSP 5.DSP应用领域 6.DSP系统开发步骤 7.DSP知识平台 8.“DSP实验”课程内容 9.教学模式