workkalmanfilter6

说明：  针对煤矿井下巷道狭长，信号多径效应明显，接收信号强度（RSSI）测距算法受井下环境影响大，定位精度低的情况，提出了一种信标节点链式部署结构下的动态RSSI测距算法，该算法以信标节点间的距离和它们间测量到的RSSI值为参考，计算巷道内实际环境下的路径衰落指数，以提高RSSI测距算法对环境的适应性。(A dynamic RSSI location algorithm is proposed based on the beacon nodes chain deployment of tunnel Wireless Sensor Networks and the algorithm takes the distance and the corresponding RSSI between the adjacent beacon nodes into account to calculate the actual path loss parameter in the tunnel, thus improving the environmental adaptation of the location algorithm. )

MATLAB中文帮助文档，阐述了MATLAB中一些基本的类库(MATLAB help)

matlab机器人障碍物静态状态下的避障的仿真(Robot obstacle avoidance of static state)

归一化LMS算法，自己更改参考信号和期望信号(normalized LMS algorithm，change the reference signal and desired signal by yourself)

基于matlab的商场的季节性线性回归销售图源代码(Based on matlab mall seasonal sales source code)

这是一篇关于自适应卡尔曼滤波在目标跟踪系统中应用的学习文章，对学习卡尔曼滤波有很大的帮助(This is an article on adaptive Kalman filter target tracking system applied in the study article, to learn the Kalman filter is very helpful)

此算法为基于信息熵的免疫算法求TSP的源程序!(algorithm based on information entropy of the immune algorithm for TSP source!)

设计地震子波和反射系数序列，合成单道地震记录，再利用对数分解法求取子波，反褶积得反射系数序列(Design seismic wavelet and reflection coefficient sequence, the synthesis of single-channel seismic recording, re-use logarithmic decomposition strike wavelet deconvolution reflection coefficient sequence)

RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(RBF network can approximate any nonlinear function, can handle regular system are difficult to resolve, with good generalization ability, and fast convergence rate, it has been successfully applied to nonlinear function approximation, time series analysis, data classification, pattern recognition, information processing, image processing, system modeling, control and fault diagnosis.)

基于神经网络的双色球预测，采用滑动窗口对输入参数进行了处理(Shuangseqiu forecast based on neural network, a sliding window on the input parameters are processed)