Cap_equal_power_SISO_fading_channel

MATLAB learn1.rar MATLAB learn1.rar

convolution_ different methods.. circular n linear covolution included

系统辨识与建模,建立一个蒸汽锅炉水位的数据模型并且根据采集的数据辨识传递函数(system identity and modeling)

说明：  optimization algorithm optimization algorithm

说明：  电压型逆变器，学习逆变器的基本模型，适合入门的者 仿真软件matlab(Voltage-type inverter, inverter to learn the basic model, suitable for those who get into simulation software matlab)

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.)

matlab的教程，例题，包括数值，符号，图像等运算及答案(matlab tutorials, sample questions, including the values, symbols, images and other computing and answers)

用matlab的实现螺旋路径的仿真，一个小球的三维螺旋运动(Using matlab realize the spiral path of the simulation, a small ball of three-dimensional spiral movement)

this is explains overlap save and add method in matlab

unit root test!!!!!!!!!!!!!!!!!!!!!包括各种计量经济学代码(unit root test!!!!!!!!!!!!!!!!!!!!!including kinds of toolbox)