FTL

Average based noise estimation

Base class for all test runners.

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, )

K-Means聚类算法 Matlab代码(K-Means)

matlab 模拟退火经典程序，简单但实用，能很好的理解模拟退，里面还有一个无约束优化的例子(matlab classical simulated annealing procedure, a simple but practical, a good understanding of simulation can retire, which have an example of unconstrained optimization)

This MATLAB code generates a square circulant matrix using the vector V as the first row of the result if V is a row vector or as the first column of the result if V is a column vector. V may be any numeric data type or a character string.

说明：  基于凯泽窗的带通滤波器，matlab上的源程序，有注释适合初学者学习！(matlab！)

位同步仿真，有仿真数据的输入，以及转换，可以输入到verilog中仿真(Bit synchronous simulation, simulation data input, and conversion, can be entered into the simulation verilog)

最小二乘，极大似然定位算法，其中包括二维和三维的最小均方误差定位算法以及连续定位算法(Least squares, maximum likelihood localization algorithm, which includes two-dimensional and three-dimensional minimum mean square error localization algorithm and continuous positioning algorithm)

改进基本遗传算法与最大熵法结合用于图像分割(Improvement of the basic genetic algorithm combined with the maximum entropy method for image segmentation)