fuzme_matlab

discrete Kalman Filter filter(离散Kalman Filter滤波器)

GM(1,N) 灰度预测 n个变量 源码(GM (1, N) gray prediction n variables source)

此书是介绍beamforing技术的书籍，书中对这个 有较为详细的说明介绍，对于了解这个技术非常好(This book focused on beamforming tech and give us some detailed information on this tech)

基于VSC_HVDC的直流配电网研究论文 很详细包括了MATLAB的仿真图(VSC_HVDC-based DC distribution network research papers are detailed in the simulation of MATLAB)

this file contains a robust control project with report in word and mfiles

模态分析中位移数据处理的有效程序，可以非常容易的得到位移处理结果(Effective procedures modal analysis displacement data processing can be very easy to get the displacement results)

预报误差法参数辨识-松弛的思想，加入重复控制，matlab开发工具箱中的支持向量机，可以实现模式识别领域的数据的分类及回归，包含了阵列信号处理的常见算法。(Prediction Error Method for Parameter Identification- the idea of relaxation, Join repetitive control, matlab development toolbox support vector machine, You can achieve data classification and regression pattern recognition, Contains a common array signal processing algorithm.)

潮流准调和分析 Dd.m [DO1 dO1 DK1 dK1 DM2 dM2 DS2 dS2 DM4 dM4 DMS4 dMS4]=Dd(y,D,Y,tm,A1) 计算6个准调和分潮的振幅系数和初相角公式 aM.m [N n aa liu_u liu_v]=aM() 基础系数矩阵，目前D和d值是取用的各段数据的中间时间值，t是以中间为0左右对称取； 视差潮龄A1需要预先得知 同时本程序负责读取原始测流数据，格式为 站位名称 观测数据段数N（即大 中 小潮） 第一段起始时间YYYY MM DD HH mm ss 第一段个数n1 speed direction speed direction ... 第二段起始时间 YYYY MM DD HH mm ss 第二段个数n2 speed direction speed direction ... 第三段起始时间 YYYY MM DD HH mm ss 第三段个数n3 speed direction speed direction ... UVg.m [U V Ug Vg]=UVg() 求调和常数U V和迟角Ug Vg Tuoyuan.m 计算各准调和分潮的椭圆要素W theta K k (The quasi harmonic analysis of tidal current Dd.m [DO1 dO1 DK1 dK1 DM2 dM2 DS2 dS2 DM4 dM4 DMS4 dMS4]=Dd (y, D, Y, TM, A1) calculation of 6 quasi harmonic division of amplitude and initial phase angle formula of the coefficient of tide AM.m [N n AA liu_u liu_v]=aM () foundation coefficient matrix, the current D and D values are the middle time of each section of data taken the value of T is in the middle for symmetric about 0 Age of parallax A1 need to know in advance At the same time, this program is responsible for reading the original flow measurement data, format for Site name The observation data segment number N (that is, in the low tide) The first section of the YYYY MM DD HH mm the starting time of SS The first section number N1 Speed direction Speed direction ... The second section starting time YYYY MM DD HH mm SS The second section number N2 Speed direction Speed direction ... The third section starting time YYYY MM DD HH mm SS The third section number )

用单纯形法解线性规划 根据单纯形法的原理，在线性规划问题中，决策变量（控制变量）x1，x2，…x n的值称为一个解,满足所有的约束条件的解称为可行解。使目标函数达到最大值（或最小值）的可行解称为最优解。这样，一个最优解能在整个由约束条件所确定的可行区域内使目标函数达到最大值（或最小值）。求解线性规划问题的目的就是要找出最优解。 (According to the principle of the simplex method, in linear programming problem, the decision variables (control variable) x1, x2,... X n value is called a solution, meet all of the constraint conditions of the solution of the called feasible solution. The objective function to achieve maximum (or minimum) feasible solution of the optimal solution is called. So, an optimal solution by constraint conditions throughout the feasible region determined the objective function to achieve maximum or minimum value). To solve the linear programming problem is to find out the purpose of the optimal solution. )

支持4到16bit 的m序列的MATLAB源码。输入寄存器长度M_Len，输出2.^M_Len-1长度的寄存器状态值向量(4 to 16bit support of the MATLAB m sequence source. M_Len input register length, the output 2. ^ M_Len-1 length of the state vector register)