svm-by-Steve-Gunn

xwch_test.m是主测试文件；biaoji.mat存放滤波器系数；xiangweicha.m用FFT计算相位差。 仿真框架为： 1.标记信号和双音信号续接作为发送信号； 2.对双音中一个频率分量的相位做偏移，再经过一个低通滤波器（引入线性相位，模拟收发不能同步测量现象）后，作为收到的信号； 3.用一个检测信号对收发信号进行相关运算； 4.画出收发信号以及相关处理后的信号。找出相关信号的那个尖点，从而推算出收发双音信号0相位点； 5. 输入0相位点位置，计算相对相位差。(xwch_test.m is the main test file biaoji.mat store filter coefficients xiangweicha.m calculated using FFT phase difference. Simulation framework: 1. Mark signals and then as a two-tone signal continued to send signals 2. On a two-tone frequency components of the phase shift to do, and then through a low pass filter (the introduction of linear phase, simulation can not simultaneously send and receive measuring the phenomenon), the as received signal 3. using a detection signal of the transceiver signal correlation operation 4. draw send and receive signals and related processed signal. Correlated signal of the cusp, which calculate the two-tone signal transceiver 0 phase point 5. Enter 0 phase point position, calculate the relative phase difference.)

实现复杂网络中社区发现的评价函数-模块度(Implement modularity in complex network with matlab.)

具有随机权重的优化的粒子群调度算法，改进了权重的计算，使得权重的取值不超过0.9(Having random weight particle swarm optimization scheduling algorithm to improve the calculation of the weight, so that the weight values ​ ​ of no more than 0.9)

Gold序列是基于m序列优选对产生的，是由两个长度相同、速率相同、但码字不同的m序列优选对模2加后得到的，一对长度为N的m序列优选对可以产生N＋2条Gold码。(Gold sequence is based on the optimization of m sequences generated by both the length of the same, the same rate, but different m codeword sequence optimization of mode 2 increases obtained, a pair of length N of the m sequence optimization can generate N 2 Article Gold code.)

边缘检测算子 prewitt算子 matlab源码(prewitt matlab)

MPU6050陀螺仪，代码，技术文档， 测试程序(MPU6050 gyroscope, code, technical documentation, test programs)

Code source of Model AR+Burg spectrum for detect inter scatterer spacing used Ultrasound of liver

本人模糊控制的课堂作业，基于Sugeno（TSK）推理的模糊控制器(I am working class of fuzzy control, based on Sugeno (TSK) inference of the fuzzy controller)

The following Matlab project contains the source code and Matlab examples used for inverse kinematics for a 3dof robot arm. authors michael miranda and renato salinas. Uses optimization to find the spatial location of each axis articulator.

为判断聚类结果质量的好坏，需要一个客观的评价指标来评价聚类结果的合理性。聚类性能评价方法通常分为三种：外部评价法，内部评价法，相对评价法。外部评价法将聚类结果得到类标签和已知类标签进行比较，此评价法的前提是数据集样本的类标签已知(In order to judge the quality of clustering results, good or bad, the need for an objective evaluation to assess the reasonableness of the clustering results. Clustering performance evaluation method is usually divided into three types: external evaluation method, internal evaluation method, relative evaluation method. External evaluation method of clustering results to obtain class labels and the known class labels are compared, the premise of this evaluation method is a class label known sample of the data set)