genetic_code

一个求解半正定规划的数值算法包，包括 C 语言实现的源代码和 MATLAB 的调用接口。这是目前项目发布的最新版本 6.1.0。(Copyright 1997-2010, Brian Borchers. This copy of CSDP is made available under the Common Public License. See LICENSE for the details of the CPL. CSDP is a software package for solving semidefinite programming problems. The algorithm is a predictor-corrector version of the primal-dual barrier method of Helmberg, Rendl, Vanderbei, and Wolkowicz. This file includes binary code for SDP for Windows. doc documentation. matlab MATLAB/Octave routines for interfacing to CSDP. bin The binary code. Contact/Support: If you are having trouble running the code, see the doc directory first. The project s website can be found at https://projects.coin-or.org/Csdp/ The project s maintainer can be reached by email at borchers@nmt.edu. Please email bug reports and feature requests. )

matlab数学手册，详细介绍了matlab的数学功能，适合数学类学生(matlab mathematics handbook, detailing the matlab mathematical functions for math class students)

matlab 7 programming

本程序是针对sar的原始数据到成像后幅度图像的成像过程。。(This is a program about sar image)

The provided code constitues the Fast Feature video Tracking algorithm as implemented in Matlab.

8 band kp method calculate the valence band structure, using finite difference method

说明：  Matlab与Vrep联合仿真，实现路径规划(Matlab and Vrep joint simulation, path planning.)

88E1111S 88E1118R circuit application

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

实现数字音频信号的幅频均衡，采用了lms算法和rls算法，有MATLAB的simulink模型，和m文件，还有部分c程序，已经本人完全测试过。(Digital audio signal of the amplitude-frequency equalization, using lms algorithm and rls algorithms, there are MATLAB-simulink model, and the m file, as well as part of the c program, I have been completely tested.)