MATLAB-program-design

Implementacao da rede MLP canonica (backpropagation com gradiente descendente) beleain

1、分别生成两种信号（正弦波、方波、三角波、锯齿波、Sinc波形等）+噪声（高斯随机噪声、均匀噪声） 要求：频率：学号*100； 幅度：学号/10 相位：学号*pi/180 点数：学号*64 2、同时在一个图形中进行显示： 要求：标注X轴、Y轴、题目、颜色、样式、线型标注等。 3、进行信号分析及结果显示（对结果也要图形标注，同2） 要求：相关分析 卷积运算 求和运算 频谱分析（最大值、测频） 4、对上述原信号及信号分析结果分别存成EXCEL文件、文本文件和二进制文件，命名为名字+班级+学号+后缀(1, respectively, to generate two signals (sine wave, square wave, triangle wave, sawtooth wave, Sinc waveform, etc.)+ noise (Gaussian random noise, uniform noise) requirements: Frequency: No.* 100 margin: Student ID/10 phase: learning* pi/180 Points: No.* 642, in a graphical display: Requirements: X-axis label, Y axis, the title, color, style, linear marked. 3, signal analysis and results display (graphical results also marked with 2) requirements: analysis convolution summation spectrum analysis (maximum frequency measurement) 4, the original signal and the signal analysis results were kept into EXCEL files, text files and binary files, named for Name the+ class++ suffix number)

实现图像rgb空间和hsi空间的相互转化，matlab不带这两个函数(rgb to hsi space program and hsi to rgb space program)

说明：  matlab程序解非线性方程KVD方程，非常方便(matlab)

文献1的仿真程序 solves the linear least squares problem with nonnegative variables = using the newton s algorithm in [1]. [1] Portugal, Judice and Vicente, A comparison of block pivoting and ％ interior point algorithms for linear least squares problems with ％ nonnegative variables, Mathematics of Computation, 63(1994), pp. = 625-643(literature of a simulation program solves the linear least squares p roblem with nonnegative variables using the n = ewton's algorithm in [1]. [1] Portugal. Judice and Vicente. A comparison of block pivoting and interior% po int algorithms for linear least squares proble ms% with nonnegative variables, Mathematics of Computation, 63 (1994), pp. = 625-643)

POWER quality improvement using statcom

pmsm矢量控制，有传感器，小功率电机，指标基本没问题(Vector control in pmsm)

synchronous motor matlab simulink

基于直线特征的slam机器人定位算法实现和优化。(Slam robot localization algorithm based on linear feature implementation and optimization.)

移动机器人轨迹跟踪迭代学习控制，实现迭代估计跟踪(Iterative learning control for mobile robot path-tracking)