Kalman-FILTER

读取matlab的mat文件(read the document mat)

使用matlab编写的多径衰落的有关仿真程序(Prepared using matlab multipath fading of the simulation program)

说明：  这个是MATLAB 中 simulink 自己搭建的仿真模型，适合入门及相对光伏模型进行一定了解的同学(This is a simulation model built by Simulink in MATLAB. It is suitable for students who have a certain understanding of the entry-level and relative photovoltaic models.)

Mode of operations dc dc converter

MATKABB NICE VERY VERY

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)

本程序研究了在不同符号序列条件下，基本Gardner算法和一种修正Gardner算法的定时误差特性(This program studied the sequence of symbols in different conditions, the basic Gardner algorithm and a modified Gardner timing error characteristics of the algorithm)

说明：  代码描述了卡尔曼滤波器用于目标跟踪中的实现。并附带有对应的论文。(Code describes the Kalman filter for target tracking implementation. Along with a corresponding papers.)

特征向量 主要在MATLAB下实现.用于图像的PCA之前的准备工作，最后实现图像的主观检索。(Eigenvector mainly in MATLAB to achieve. The PCA for image preparation work before, and finally realize the subjective image retrieval.)

Manual usuario notebook HP 550.