AppendImages

滤波器的MATLAB实现程序 内附多个源代码，可作学习参考(Filter containing the MATLAB program to achieve a number of source code, reference can be used for learning)

This program will assist the user to visualize the foot print of type2 fuzzy membership functions in 3 dimensional mode.

雷达系统信号处理仿真，产生多假目标并进行干扰(Simulation of radar signal processing to produce multiple false targets and interference)

quantization by matlab

说明：  bus system data for matlab code

基于matlab环境编译的创建人脸数据库，特征提取，人脸识别源码程序，运行时识别率较高。( based on MATLAB environment， creates face database, Feature extraction ，face recognition program,having a high recognition rate)

基于matlab的MIMO信道的仿真的源程序(The MIMO channel matlab-based simulation of the source)

包含去噪后经常用的评价指标，峰值信噪比，信噪比，相似度、等效视数，边缘保持指数(After uation often contain de-noising, the peak signal to noise ratio, SNR, similarity, ENL, edge retention index)

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)

electric motor with torque speed control