qtoctave-win32-0.9.1-3

量子自组织特征映射网络聚类算法仿真程序 量子群智能优化算法(Quantum self-organizing feature map network clustering algorithm simulation program)

使用立方b样条小波的均值插值。使用立方b样条小波的细分插值。(Average interpolation using cubic B-spline wavelet.Subdivision interpolation using cubic B-spline wavelet.)

说明：  灰色理论的应用，是一种成语实现，用于预测数据。(Application of Grey theory is a kind of idiom to achieve, to predict the data.)

DFIG based wind energy conversion system

实现内插数字上变频 内插 低通滤波器的子程序 整个系统的调试(Upconverting interpolation interpolated digital low-pass filter of the subroutine of the entire system debugging)

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)

多频混合信号，滤波器，最优化低通滤波，切比雪夫带通滤波，最优化高通滤波，matlab(Mixed multi-frequency signal, a filter, a low pass filter optimization, Chebyshev band-pass filter, high pass filter optimization, matlab)

信息论中变长编码的香农编码程序，大家可以互相学习(In the information theory of shannon length coding encoding process, we can learn from each other)

matlab实现的动态矩阵控制算法 可供参考(matlab implementation of dynamic matrix control algorithm for reference)

最基本的由彩色图像转换为灰度图像的代码。在matlab中运行图像处理时用到的最基本源码，但是很多matlab中并不含有这个函数。(The most basic color images by gray-scale image is converted to code. In the matlab image processing used to run the most basic source code, but many do not contain this function in matlab.)