exp2

模式识别的贝叶斯算法和Fisher算法 加以比较 有图有真相(Bayesian algorithm and pattern recognition algorithms to compare Fisher map with the truth)

WSN 质心定位算法 Centorid Algorithm 加经典参考文献 A: 如果接受节点接收到的包数目与发送节点发送的包数目的比值大于CM_threshold,则这两个节点视为邻居节点 未知节点利用邻居锚节点进行定位，没有邻居锚节点的未知节点无法定位。 B: 如果接受节点接收到的包数目与发送节点发送的包数目的比值大于CM_threshold,则这两个节点视为邻居节点 未知节点一旦被定位就充当起锚节点的功能，向周围邻居发送自己的估计坐标信息 未知节点把已经定位的未知节点与锚节点同等对待 C: 如果接受节点接收到的包数目与发送节点发送的包数目的比值大于CM_threshold,则这两个节点视为邻居节点 有邻居锚节点的未知节点只利用邻居锚节点进行定位，没有邻居锚节点的未知节点才利用已经定位了的邻居未知节点进行定位。(WSN centroid localization algorithm Centorid Algorithm A: If you accept the received packet node number and the number of packets sent by the sending node ratio greater than CM_threshold, then these two nodes as neighbors Unknown node using the neighbor anchor nodes to locate, no neighbors anchor nodes and unknown nodes can not be located. B:   If you accept the received packet node number and the number of packets sent by the sending node ratio greater than CM_threshold, then these two nodes as neighbors Unknown nodes are positioned on as soon as the function of anchor nodes to send their neighbors estimated coordinate information Unknown unknown node to node already positioned anchor nodes treated equally C: If you accept the received packet node number and the number of packets sent by the sending node ratio greater than CM_threshold, then these two nodes as neighbors Of the unknown neighbor anchor node the neighbor nodes are only positioned anchor nodes, )

三阶倒立板系统在模型的不确定性时的奇异值曲线(Singular value curve of the third order inverted plate system when the uncertainty of the model)

dtw,动态时间规划，MATLAB程序，子函数，可以调用(Dynamic Time Planning)

卡尔曼滤波，能够进行目标位置的预测与识别(Filter of Kalman)

脑电信号EEG的信号波形分析，采用小波分解之后plot出波形(EEG signal EEG waveform analysis using wavelet decomposition of the waveform after the plot)

Characteristics of the closed one-dimensional object

说明：  将加噪的结果存储成图像的格式，存放在目录中，可以以后使用此图片，自己编的，有用的下哈(The results of adding noise into the image storage format, stored in the directory, you can later use this picture, their own series, useful under the Kazakhstan)

一本matlab rune教材，有很多实例，比较简单，学习过程中可以不断尝试。(A book about matlab,it can be used by those who knows little about matlab.)

partial autocorrelation plot to decide the order of arima model