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此文件为matlab实例源程序，可直接用于实际，也可加以修改，应用广泛。(matlab)

matlab7.0应用编程，中文资料，每章一个文件(Application Programming matlab7.0, English information, each devoted to a file)

【谷速软件】基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法源代码 可以作为参考使用学习([Valley] speed software based on wavelet Bayes (BAYES) threshold (WAVELET) image denoising algorithm source code can be used as a reference study)

这段代码主要用于工程中的结构有限元设计，依次从代码中很容易求解出结构所划分的节点数，单元数以及荷载等。(This code is mainly used for finite element in structural engineering design, are easily solved by the number of nodes in the structure of the number of units, and load.)

有限元算法求解铁木辛柯梁梁静力问题实例。一个简单的一维梁模型，用FEM算法求解，用于学习有限元编程。(Timoshenko beam in bending)

LMS算法程序 代码等等 变步长LMS算法程序 代码等等 变步长(lms suanfa bianbuchang)

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.)

Raptor码的仿真程序，包括预编码可LT编码两部分。(Raptor code simulation program, including pre-coding the LT encoding two parts.)

数学建模-出租车人口预测模型，出租车数量预测模型，收益最大化(Mathematical modeling- Taxi population forecasting model, the number of taxis prediction model, revenue maximization)

说明：  双环控制，直流母线电压外环，电感电流内环预测控制，3kW光伏并网系统，无升压电路，增量电导法，逆变桥控制最大功率追踪，亲测可用。(DC bus voltage outer loop, inductance current inner loop, 3KW photovoltaic grid connected system, no boost circuit, incremental conductance method, inverter bridge control maximum power tracking, available for pro test.)