quasi_qpsk_paper_t4r2

How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)

异步电机功率开关控制，经调试改进，绝对正确(power_syncmachine)

雷达测伪距 采用的正负调频法 matlab仿真源码 (The radar measured pseudorange positive and negative frequency modulation method matlab simulation source code)

盖氏圆算法。该程序用于计算均匀直线阵（ULA）中信号源个数估计情况,采用Monte-Carlo模拟。(GDE algorithm. The program is used to calculate the number of signal sources in ULA,using Monte-Carlo simulation.)

matlab code from the states university of new york in the united states

这是关于模拟调制的MATLAB源代码，希望对大家有所帮助(This is on the MATLAB simulation of modulation source code, I hope all of you to help)

M/M/1单服务台派对系统，（用事件调度法实现离散事件系统仿真） 顾客到达模到达时间间隔和顾客服务时间均服从负指数分布，单服务台系统，按照单队排队，按FIFO方式服务。考察服务n个顾客后的顾客平均队长及平均排队等待时间(M/M/1 single desk party system (with the event scheduling system for discrete event simulation) model to reach customers arrival time and customer service have a negative exponential distribution, single-desk system, in accordance with the single-team line up, according to FIFO way service. N a customer service inspection after the average length and average customer waiting time)

使用小波包变换分析信号的MATLAB程序(Simulation of a simple short-circuit voltage sag signal, find the modulus maxima of wavelet coefficients...)

超声在多层复合结构中传播的stoneley波的相关程序(Ultrasound propagation in multi-layer composite structure of stoneley waves associated procedures)

空时信号处理过程中，信杂噪比计算的matlab程序(Space-time signal processing, noise ratio SNR calculation matlab program)