05040031

本书主要是介绍信息理论和统计理论，是英文经典书籍！(Information theory and statistics)

fingerprint source code

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

说明：  多元微分方程参数识别，对网友的问题进行编程，并求出了准确结果，使用最小二乘lsqcurvefit函数 (multiple variable differentical equtation parameter estimation using matlab lsqcurvefit function,the reslut is good)((multiple variable differentical equtation parameter estimation using matlab lsqcurvefit function,the reslut is good))

,在MATLAB环境下对 学生自主学习成绩决策表进行了求解,分析了该决策表的上近似集、下近似集、不可分辨关系、约简、核集、属性依赖度的概念,从而 在原始数据的基础上得出了条件属性与决策属性间的关系。 (The knowledge theory based on rough set can help to simplify the knowledge proceeded from originaldata. In the paper it intro- duces the rough set theory and its principle algorithms. MATLAB Rough SetToolbox is programmed to analyze the decision table of self-learn- ing system from students score database.The concepts such as the upper approximation, lower approximation, indiscernibility relation, reduc- tion, core set, and attribute-importance are analyzed based on the score database table.Thus, the relations between condition attributes and de- cision attributes of the score database are obtained on the basis of original data. )

一种基于RSSI无线定位算法的源代码，有助于进一步了解改算法的优缺点(RSSI Wireless Location Algorithm Based on the source code, help to further understand the advantages and disadvantages of change algorithm)

说明 在此分类的PRJ我们试图通过分配给每个签名的两个不同的公司标识由一个特别号码提取水平和垂直扫描每幅图像矩阵。每个标志图片被截断成二进制后调整大小。这是由核心例行imcount.m，而主编testpng.m运行compelte测试结果显示出来。每个标识的痕迹便可以进一步处理像一个合适的神经网络学习，推理机等熵类分类指数使用的系统是更好的有关报告，从http://cag.dat下载的解释。 demokritos.gr/publications/TR2011-1.pdf。 该例程index0.m提取每个图像矩阵的行/列聚类分析，现在可以用来替换为最新版本的“cluster.m“另一包“DEC2NARY“我们Mathworks公司提供的帐户中。 MATLAB的MATLAB的版本7.4（R2007a）(Description In this prj we attempt to classify a number of Company Logos by assigning to each 2 distinct signatures extracted by a special horizontal and vertical scan of each image matrix. Each Logo picture is truncated to binary after resizing. This is done by the core routine imcount.m, while the main prog testpng.m runs a compelte test and displays results. Traces of each Logo could then be further processed by an appropriate learning system like a Neural Net, an Inference Engine, etc. The entropic-like index used for classification is better explained in the associated report downloadable from http://cag.dat.demokritos.gr/publications/TR2011-1.pdf. The routine index0.m used for extracting the cluster analysis of each image matrix row/col can now be replaced by a most recent version "cluster.m", contained in another package "DEC2NARY" available by our Mathworks account. MATLAB release MATLAB 7.4 (R2007a) )

friction model simulink

用MATLAB模拟的机械凸轮，包括速度、加速度模拟等，相互学习(Mechanical cam with matlab)

读取wavepro7100的2进制文件头参数 返回4个参数：采样长度，增益，偏移量，时间间隔 ylj 2005.6.9(2 M wavepro7100 read file header parameters The return of four parameters: the sampling length, gain, offset, time interval)