icasso121

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.)

能作为所有金融分析提供一目了然的效果，结合了移动平均和转势信号(Can serve as a glance of all financial analysis of the effect of a combination of moving average and the transfer potential signal)

连续相位调制CPM的软输入软输出SISO解调(Continuous phase modulation CPM soft input soft output SISO demodulator)

RLS predictive 1d matlab code

解耦控制的仿真,很全面的资料！！！！！！！！！！！！！！！！ (The decoupling control the simulation)

线性系统状态空间分析（包括分析系统可控，可观性，对系统进行非奇异线性变换，分析系统稳定性，绘制阶跃响应曲线），极点配置(The state space of the linear system analysis (including analysis system controllability, observability, non-singular linear transformation of the system, the analysis of the stability of the system to draw step response curve), pole placement)

matlab在振动信号处理中的应用源代码及pdf(Application of MATLAB in vibration signal processing source code and PDF)

说明：  利用最小二乘法对实验数据进行曲线拟合，可得到比较准确的拟合图形以及干涉代码。(The least square method is used to perform curve fitting on the experimental data to obtain a more accurate fitting graph.)

现代通信信号在matlab中的实现及应用(good)

说明：  利用相移补偿来仿真一个均匀线列阵的指向性图 (Using phase shift compensation to simulate a uniform linear array of point of Figure)