kalman

实现数字音频效果的源程序，包含多速率信号处理的内插和抽取源程序。(realize the audio effect.inlude the function of multirate signal processing knowledge)

求解二元二次微分方程及其边值问题,含有实例及代码(To solve the binary quadratic differential equation and its boundary value problem,including examples and codes)

关于数字通信中DFT和FFT的仿真程序，真正有用(On DFT and FFT digital communication simulation program, really useful)

说明：  turbo码系统的仿真，包括编码、交织、不同译码、穿孔等各个部分的程序。仿真结果在图中表现。译码算法为log-map。(turbo code system simulation, including encoding, interleaving, different decoder, such as perforation of part of the process. Simulation results are shown in Fig. Decoding algorithm for log-map.)

matlab一维码识别 利用radon算子做水平方向矫正(radon correct)

基于小波变换的多聚焦图像融合技术。可以实现对图像的模糊处理(Multi-focus image fusion based on wavelet transform technology. Can be achieved fuzzy image processing)

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.

conventional simulink statcom

精通MATLAB教程，综合辅导与指南的基础使用方法和使用说明(MATLAB Quick Start)

This is a buck converter simulation. This simulation have the changing load in the changing time. This is a variable load simulation of buck converter.