Ggeneratesampe

一个比较典型的PID处理程序，在使用单片机作为控制cpu时，请稍作简化，具体的PID 参数必须由具体对象通过实验确定。由于单片机的处理速度和ram资源的限制，一般不采用浮点数运算， 而将所有参数全部用整数，运算到最后再除以一个2的N次方数据（相当于移位），作类似定点数运算，可 大大提高运算速度，根据控制精度的不同要求，当精度要求很高时，注意保留移位引起的“余数”，做好余 数补偿。这个程序只是一般常用pid算法的基本架构，没有包含输入输出处理部分。 (A typical PID process, using the microcontroller as a control cpu, make some simplification, the specific PID parameters must be determined experimentally by a specific object. As the chip processing speed and ram resource constraints, generally do not use floating-point operations, and all parameters of all integers, and divided by an operator to the last N-th power of 2 data (the equivalent of the shift) for a similar fixed-point operations, can greatly improve the speed of operation, according to the different requirements of precision control, when high precision, attention to retain the shift caused by the " remainder" and on the remainder of compensation. This procedure is commonly used basic structure pid algorithm, does not include input and output processing section.)

一种基于matab模糊神经网络络的温度控制程序源码 (A source matab fuzzy neural network network-based temperature control procedures)

此程序给出了换热网络旁路设计中的相关增益分析，可计算出相对增益矩阵。(This program gives the bypass heat exchanger network design-related gain analysis to calculate the relative gain matrix.)

EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的工程领域得到了迅速有效的应用, 例如用在海洋、大气、天体观测资料与地震记录分析、机械故障诊断、密频动力系统的阻尼识别以及大型土木工程结构的模态参数识别方面。本工具书主要分以下几个部分：导论、非稳态信号介绍、一维时频信号分解、二维时频信号分解、时频影像信息提取等。 (Time frequency toolbox for use with MATLAB The Time-Frequency Toolbox has been mainly developed under the auspices of the French CNRS (Centre National de la Recherche Scientifique). It results from a research effort conducted within its Groupements de Recherche ”Traitement du Signal et Images” (O. Macchi) and ”Information, Signal et Images” (J.-M. Chassery). Parts of the Toolbox have also been developed at Rice University, when one of the authors (PG) was visiting the Department of Electrical and Computer Engineering, supported by NSF. Supporting institutions are gratefully acknowledged, as well as M. Guglielmi, M. Najim, R. Settineri, R.G. Baraniuk, M. Chausse, D. Roche, E. Chassande-Mottin, O. Michel and P. Abry for their help at different phases of the development.)

matlab时频分析工具箱，包括各种时频分析函数(matlab time-frequency analysis toolbox, including a variety of time-frequency analysis functions)

This code use a Particle swarm optimization algorithm. and then optimize the learning rates of neural network. used is JENKIN s gasro and makey dataset.

信息传输 资源调度 比例公平算法 无线 比例公平(Resource scheduling proportional fairness algorithm)

ROF模型的matlab代码，两个文件：main.m和ROFdenoise.m文件，前者调用后一个文件，后一个文件为rof去噪算法代码。(Matlab code of the ROF model, the two files: the s main.m and ROFdenoise.m file call the former a file after a file rof denoising algorithm code. )

动态聚类的k均值算法,采用matlab编程,内有多个子程序，和一个主程序(dynamic clustering algorithm k mean using matlab)

基于最小二乘的matlab的wsn的节点算法源程序。用三角测距原理(Based on least-squares algorithm matlab source of wsn nodes. Ranging triangular theory)