meiguorenkou

数学建模中常见的灰度预测程序，能够求解一般的预测性问题，较实用(Mathematical Modeling in the common gray forecasting process, to solve the general problem of predictability, a more practical)

卡尔曼滤波和扩展卡尔曼滤波Matlab源程序，广泛用于参数估计，滤波去噪，惯性导航等应用方面。(Kalman filter and extended Kalman filtering Matlab source, widely used in parameter estimation, filtering noise, inertial navigation and other applications.)

求波达方向估计的MUSIC算法程序，用matlab仿真实验。(Seeking DOA estimates MUSIC algorithm matlab simulation experiment.)

matlab基础入门教学书籍,初学者入门级别教材。(matlab introductory instructional books, beginner-level textbooks.)

基于matlab的程序讲解，综合了所有知识及仿真，希望能帮助你学习(Combines all the knowledge and simulation matlab-based program to explain, hope to help you learn)

阵列信号处理_空间谱估计原理的一些基本算法——MusicEspritMp(Array signal processing _ the principle of spatial spectrum estimation of some of the basic algorithm- MusicEspritMp)

基于向量内积的相似性K-means聚类算法(Based on vector similarity of inner product K- means clustering algorithm)

This bus abstraction is developed separately from drivers, so we need to check the version of the data structures we receive.

sensitivity calculus : output variation vs parameter variation

function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.