熟悉理想采样的性质；熟悉离散信号和系统的时域特性；熟悉现行卷积的计算编程方法，利用卷积的方法，观察、分析系统响应的时域特性。 4.掌握序列傅氏变换的计算机实现方法，利用序列的傅氏变换对离散信号、系统及系统响应进行频域分析-Familiar with the nature of the ideal sampling Familiar with discrete time domain characteristics of signal and system Familiar with th

离散信号的卷积和运算，适用于初学者，学习仿真信号与系统这门课程-Discrete signal convolution and operation, suitable for beginners to learn the simulation of signals and systems this course

关于非线性离散系统辨识，FIR 底通和带通滤波器和IIR 底通和带通滤波器，意信号卷积的运算,并且绘制图象。- Nonlinear discrete system identification, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Convolution operation is intended to signal and image rendering.