suoha.rar 哈梭matlab源程序

fem_matlab有限元matlab实现的源代码(fem_matlab finite element realization of the source code matlab)

matlab制作的数字水印算法原程序，实现整个程序运行还行，共享给大家-jpeg of the Matlab Simulation, and the whole process has run OK, for everyone to share (matlab digital watermarking algorithm produced the original procedure, also realize the whole process to run line-sharing to the U.S.-jpeg of the Matlab Simulation, and the whole process has run OK, for everyone to share)

对二维图像进行ROI提取的程序，提供GUI界面(A GUI to find ROI in 2D image)

UITableView

一种计算多重分形谱的算法，能够有效计算多重分形谱的各种参数(A method of calculating the multifractal spectrum)

GUI的使用实例，可以更好地学习！可以参照程序来做(Instance of the GUI to use, you can learn better! Can refer to the program to do )

用于特征降维，特征融合，相关分析等,最小均方误差（MMSE）的算法，最终的权值矩阵就是滤波器的系数，一些自适应信号处理的算法，多抽样率信号处理，线性调频脉冲压缩的Matlab程序。

设计实现了DSSS通信中RAKE接收的功能，包括m序列生成的m文件和一个数据源扩展程序，可以仿真RAKE接收的误码率，便于分析性能！(Design and Implementation of a DSSS communication RAKE receiver functions, including the m sequence generated m file and a data source extension, you can simulation RAKE receiver BER to facilitate analysis of the performance!)

The Spacecraft Control Toolbox is composed of MATLAB m-fi les and mat-fi les, organized into a set of modules by subject. It is essentially a library of functions for analyzing spacecraft and missions. There is a substantial set of software which the Spacecraft Control Toolbox shares with the Aircraft Control Toolbox, and this software is in a module called Common. The core spacecraft fi les are in SC and SCPro along with special plotting tools in Plotting. The new CubeSat module demonstrates mission planning and simulation for nanosatellites. These fi ve modules are referred to together as the Core toolbox. Functions for estimation, orbit analysis, subsystem analysis, and detailed attitude control system examples are grouped in separate modules. All of the modules are described in the following table, including the add-on modules which are purchased separately.

a program simulating the equation of rate in function of false probablity in radio cognitive network