HungarySolution

AP算法源码代 运行可以画出图 AP算法源码代 运行可以画出图(AP algorithm source code to run on behalf of AP algorithm source code can be drawn diagram can be drawn map on behalf of running)

This is a collection of Matlab files for computing time-frequency distributions or time-frequency representations.

Vector gradient of RGB image

均匀球形粒子的Mie理论散射光强计算程序： 1．RB1.m 计算第一类Ricatti-Bessel函数的函数 2．RB2.m 计算第二类Ricatti-Bessel函数的函数 3. Alegendr.m 计算角函数 和 的函数 4. MieCoeff.m 计算米尔系数的函数 5. Amp.m 计算散射光复振幅的函数 6. MieIntensity.m 画均匀粒子散射角-光强图 (Uniform spherical particle Mie theory scattering intensity calculation procedures: 1. RB1.m calculate the first class Ricatti-Bessel function of the function 2. RB2.m calculate the second category Ricatti-Bessel function of the function 3. Alegendr.m computing angle functions and function 4. MieCoeff.m Mill coefficient calculation function 5. Amp.m calculate the scattering amplitude recovery function 6. MieIntensity.m Painting uniform particle scattering angle- light intensity diagram)

matlab神经网络，用于数据拟合及数据模拟预测(matlab neural network for data fitting and data simulation and prediction)

PCA主成分分析算法用于人脸识别的例子。此算法是基于矩阵特征值的排序而提取出主要成分的。(PCA principal component analysis algorithm for face recognition example. This algorithm is based on the ranking of the matrix eigenvalue extracted principal components.)

对于控制上最基本的控制原理-PID控制，详细条例介绍了基本PID的原理。(For the control of the most basic control principle-PID control, the detailed regulations introduce the basic principle of PID.)

Turbo Receiver Design for Phase Noise Mitigation in OFDM Systems

说明：  灰色预测方法的特点表现在：首先是它把离散数据视为连续变量在其变化过程中所取的离散值，从而可利用微分方程式处理数据；而不直接使用原始数据而是由它产生累加生成数，对生成数列使用微分方程模型。这样，可以抵消大部分随机误差，显示出规律性。(The characteristics of the grey prediction method are as follows: First, it regards the discrete data as the discrete value of the continuous variable in its change process, so that the differential equation can be used to process the data; instead of using the original data directly, it generates the cumulative generation. Number, using a differential equation model for generating a series. In this way, most of the random errors can be offset, showing regularity.)

amer s noise level estimation implementation on MATLAB