fuzzy c-means

the optimisation toolbox james lesage toolboxes

牛顿插值法的MATLAB实现，信号分析处理 综合实验6的必须选择部分， 信号分析处理高级要求。(Newton interimpose method, for signal process and analysis advanced lab of such a class.)

生成BA无标度网络，并统计网络的度分布（网络中新家入的节点会优先选择网络节点度较大的节点链接）。(The BA scale-free network is generated and the degree distribution of the network is counted (the new home nodes in the network will preferentially choose the node links with higher degree of network nodes).)

本文采用模糊数学和优化理论建立起一套预测模型由计算机自动预测电力负荷从而保证了预测结果的正确性和可信度通过对深圳市远景年电量预测的实例表明该方法是可行而有效的 (this fuzzy optimization theory and mathematical model to establish a set automatically by a computer forecasting electricity load so guarantee the accuracy of the results and credibility of the Shenzhen City Vision, electricity demand forecasting examples show that the method is feasible and effective)

<系统实时仿真开发环境与应用>，matlab平台搭建实时仿真系统参考书。(<Real-time simulation development environment and application>, matlab platform to build real-time simulation system reference.)

预测函数控制作为第三代的MPC。是一种优秀的控制算法，此程序针对大惯性，大时滞对象实现了准确的控制，并且有详尽的程序注释，还原下载(As a third-generation predictive function control of MPC. Is an excellent control algorithm, this procedure for large inertia, large delay to achieve a precise control of the object, and a detailed program notes, reduction downloads)

说明：  齿轮传动simulink仿真内含行星齿轮传动在一定负载下的仿真模型(You can model the effects of heat flow and temperature change through an optional thermal conserving port. By default, the thermal port is hidden. To expose the thermal port, right-click the block in your model and, from the context menu, select Simscape > Block choices. Select a variant that includes a thermal port. Specify the associated thermal parameters for the component.)

matlab编写的声卡采集声音信号并可以播放出来的gui界面。(matlab write sound card and can play sound signals collected from the gui interface.)

1、 降噪步骤： （1） 一维信号的小波分解。选择一个小波并确定分解的层次，然后进行分解运算。 （2） 小波分解高频系数的阈值量化。对各个分解尺度下得高频系数选择阈值进行软阈值量化处理。 （3） 一维小波重构。根据小波分解的最底层低频系数和各高频系数进行一维小波重构。 matlab里面有关于去噪的函数，你可以找一下~~ 这说的只是基本原理，希望有所帮助(1, noise reduction steps: (1) one-dimensional signal wavelet decomposition. Select a wavelet decomposition level and determining, and then divide the operation. (2) high coefficient wavelet thresholding. For each decomposition scales have high coefficient selection threshold soft threshold quantization. (3) one-dimensional wavelet reconstruction. According to the lowest level of the low frequency wavelet coefficients and high frequency coefficients of each one-dimensional wavelet reconstruction. There are about denoising matlab function, you can find some ~ ~ This says just the basic principle, we hope to help)

MATLAB经典计算题求解源码MATLAB source code for solving the classical calculation problems(MATLAB problem solving classical calculation source MATLAB source code for solving the classical calculation problems)