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卡曼滤波的实例程序，用来实现卡曼滤波，是自己结合实例亲自编的(Kalman filtering of the example program, used to implement Kalman filtering, with examples their own personal series of)

说明：  用Reinhard算法实现了图像之间色彩的迁移，程序为Reinhard.m；并对该算法进行了改进，程序为Reinhard improved.m(color transfer using Reinhard method.)

说明：  MATLAB编写的数值分析实验的一些小程序(MATLAB prepared by the numerical analysis of a number of small experimental procedure)

复杂网络领域大神Dorogovstev著作，evolution networks： biological net to INTERNET and WWW(evolution networks： biological net to WWW)

基于宽带调制转换器的一种新的压缩感知技术(Matlab package that simulates sampling by the analog system. The MWC consists of an RF front-end whose intermediate nodes are non-bandlimited signals. In this setting, computing the samples that would have been obtained by the hardware becomes a tricky task. This package sets the MWC parameters properly and also uses a dense time-grid in order to ensure sufficient approximation in computing the analog samples. The simulations in this paper were generated by this package. Usage: (A) download from here and unzip. (B) use start.m to run the simulations (can last many hours). (C) use GenFigs.m to generate the figures from the saved results. )

测量数据处理非常复杂，但应用Matlab强大的数据矩阵处理能力，可以非常容易的实现最优控制，超定方程等问题的解算。(Measurement data processing is very complex, but the application of Matlab data matrix powerful processing capability, can be very easy to achieve optimal control, overdetermined solving such issues.)

给出了FIR滤波器设计的MATLAB语言程序，可以根据设计要求，灵活地调整参数，得到需要的滤波器参数。 (given FIR filter design in MATLAB procedures, according to design requirements, flexibility to adjust parameters and the need to filter parameters.)

MATLAB HHT(希尔伯特变换)工具箱(matlab HHT toolbox lib)

This matlab script is for ploting a graph by accessing serial port data in real time. Change the com values and all variable values accroding to your requirements. Dont forget to add terminator in to your serial device program. This script can be modified to be used on any platform by changing the serialPort variable.

Matlab code for generating sparse signal and compressing and recovering the signal using convex optimization.