crplus

BP学习算法应用——模式分类 应用动量BP学习算法对UCI提供的经典数据库——鸢尾属植物数据库进行分类，速度快，精度高。iris.arff为数据库文件，可用Weka数据挖掘软件打开。Iris.csv为源代码读取的数据文件，通过Weka软件转换得到。 将源文件Iris_classify.m和Iris.csv文件放入matlab的work文件夹中直接运行即可。(BP learning algorithm applications- the application of pattern classification momentum BP learning algorithm to provide a classic UCI database- iris database classification, high speed and accuracy. iris.arff for the database file that can be used to open Weka data mining software. Iris.csv for the source code to read the data files have been converted through Weka software. Iris_classify.m the source document and document Iris.csv Add matlab folder of work can be directly run.)

主动控制悬架4自由度模型及控制算法，可以马上应用。(Active Control of 4-DOF suspension model and control algorithm can be applied immediately.)

SVPWM VR调节器，有源滤波器APF，三电平结构的(SVPWM VR regulator, active filter APF, three-level structure)

介绍VC++ 下调用Matlab engine 的方法(Introduce Calling Matlab engine From VC++ )

it is a music player. simple music player code that accepts and plays mp3 files also, due to built in codec support

永磁同步电机直接转矩控制matlab仿真，采用滞环控制和开关表，不是SVM-DTC(Permanent Magnet Synchronous Motor Direct Torque Control matlab simulation, using hysteresis control and switch tables, not SVM-DTC)

Written for engineering and computer science students and practicing engineers, this book provides the fundamental applications and mathematical techniques of signal processing. Topics covered include programming in MATLAB, filters, networking, and parallel processing. MATLAB is introduced and used to solve numerous examples in the book. Companion software available In addition, a set of MATLAB M-files is available on a CD bound in the book.

Finite element method using Matlab

图像处理MATLAB程序(教学使用）-线性图像灰度处理(MATLAB image processing program (Teaching)- linear image processing)

偏最小二乘(PLSR) 分别求出样品集光谱矩阵和样品组分矩阵的主成分矩阵,将这两个矩阵相关联,求其线性关系,用所建立的线性函数来预测未知样品。 (Partial least squares (PLSR) The principal component matrix samples were calculated in the spectral matrix and sample matrix, the two matrix associated with the linear relationship, linear functions are developed to predict unknown samples.)