zhixin

matlab的调制解调， matlab的调制解调(matlab modem, matlab modem)

本程序是用于信号频谱分析的实验程序。 主要功能是进行信号的幅值谱计算；同时可完成在选定范围内谱峰的精确频率、幅值和相位计算（计算结果为cos相位）。( This procedure is used to test the program signal spectrum analysis. Main function is to calculate the signal amplitude spectrum the same spectral peaks can be completed within the selected range of precise frequency, amplitude and phase calculation (calculated as cos phase).)

说明：  使用GramSchimidt方法进行矩阵的QR分解和排序的GramSchimidt方法QR分解(QR decomposition using GramSchimidt method)

神经网络可用于分类和回归，该程序使用MATLAB编写，用来进行信号分类(Neural networks can be used for classification and regression, the program use of MATLAB, used for signal classification)

matlab GUI编程实例之归一化二阶系统演示界面设计。(matlab GUI programming examples of presentation interface design owned by one of the second-order system.)

MULTILETARION FOR TRACKING

本程序为m源文件，应用于无线回传的拓扑优化问题，采用的是贪婪算法。(This program is m source file, which is applied to topology optimization of wireless backhaul, and greedy algorithm is adopted.)

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.

本代码包含了多个MATLAB经典程序，其中有：滤波器，线性变换，图像处理等(This code contains a number of MATLAB classical procedures, including: filters, linear transform, image processing, etc.)

kernal adaptive filtering