MATLABInterpolation_and_fitting

利用小波变换进行图像灰度增强，其中与直方图，中值滤波图像处理进行了对比(Using wavelet transform image gray enhanced, including histograms, median filter image processing were compared)

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, )

说明：  ap(Affinity Propagation)近邻传播聚类算法的程序和演示代码(demo code of ap(Affinity Propagation) )

Dijkstra最短路算法通用Matlab程序

i got this code from some resource i edited ...

一个16QAM数字调制后的通信系统,包括信号发生器,调制器,信道传输,接收器,均衡器等部分(After a 16QAM digital modulation communication system, including the signal generator, modulator, channel transmission, receivers, and other parts of EQ)

给定初始值，产生费根鲍姆迭代轨迹，logistics映射，周期点等程序(Given initial value, resulting in iterative trajectory Feigenbaum, logistics map, periodic points and other procedures)

说明：  带限信号通过带通滤波器的信噪比改善，通过2000-5000KHZ和3000-4000KHZ的带通滤波器(Band-limited signal to noise ratio by improving the band-pass filter, through the 2000-5000KHZ and 3000-4000KHZ band-pass filter)

this program is implementation of TOPSIS algorithm

说明：  最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)