phasetree

压缩感知重构算法的功能代码 内附功能函数的详细说明(Compressed sensing reconstruction algorithm of the function code included a detailed description of performance function)

tm（横磁场）波照射下球的散射场程序，次程序是在MATLAB环境下编写的。(TM sphere)

MPLAB_IDE中文资料 中文介绍 MPLAB_IDE(MPLAB_IDE Chinese Information Chinese Introduction MPLAB_IDE)

无刷直流电机混沌吸引子，q、d轴电流与电机转子相位图(Brushless DC motor chaotic attractors, q, d-axis current and the motor rotor phase diagram)

说明：  此为建模竞赛试题的一解决方案，题目及解题原理易见于普通建模辅导资料。程序使用图论模型完整解决了问题。(Modeling this as a test solution, the principle of easy questions and problem-solving counseling information modeling in general. Procedures for the use of graph theory model of a complete solution to the problem.)

2d logistic regression demo

说明：  一种图像检索中纹理特征提取的方法。本文介绍了基于Gabor 滤波器和Gabor 小波变换提取纹理特征的分析方法, 以及对Gabor 小波进行了高斯归一化以提高对图像检索的速度和准确度。(An image retrieval texture feature extraction methods. This article based on Gabor filters and Gabor wavelet transform to extract texture feature analysis method, as well as Gabor Wavelet Gaussian normalized to enhance the image retrieval speed and accuracy.)

this is clipping code for papr reduction in matlab.In this code clipping is fillowed by filtering to reduce inband interference.Simulated results are in the form of graphs to compare performance

使用costas环实现载波同步，绘制出了载波频率跟踪曲线(Achieve carrier synchronization using the costas loop, draw the curve of the carrier frequency tracking)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)