project2

Power quality generation of voltage sags. All kinds of sags can be generated.

about fading generaor

matlab 追赶法解33.c(catch up with the method of Matlab 33.cppddddddddddddddddddd )

implementation of proposed shape decomposition method in "Efficient morphological shape representation with overlapping disk components" by Jianning Xu

说明：  数字信号处理课程设计程序，实现频分复用，低通带通高通滤波器进行滤波。(Digital Signal Processing design process, to achieve frequency division multiplexing, low-pass band-pass filter high-pass filter.)

smart antenna. WS=Z where Z=[1 0 0..]T & S is the stearing vector.Find W? STEP1:Input Number of Array Elements, The Separation Distance Between Elements, The Operation Frequency, The Angle of Incidence of The Desired Source Signal , The Angle of Incidence of The Interference Un-Desired Source Signals Respectively, The Angle of Incidence of the Undesired Interference Source Signal STEP2: Estimatie The Weight Vector of A Null Steering Beamformer STEP3:Inverse of Steering Beamformer STEP4:Find Weights Vector by using equation W=S-1ZT STEP5:Plot

一个很好用的matlab视频跟踪程序，里面有对应的视频文件，直接就可以仿真运行，方便大家学习。(A good use of matlab video tracking program, which has a corresponding video file, you can directly run the simulation to facilitate learning.)

3D FDTD 计算程序 ToyFDTD1 is a stripped-down, minimalist, 3-dimensional FDTD code that is published under the GNU General Public License. It is the first in the ToyFDTD series of codes, and it illustrates in heavily commented C and Fortran the basic tasks in implementing a simple 3D FDTD simulation.(3D FDTD computational procedures ToyFDTD1 is a stripped-down, minimalist, 3-dimensional FDTD code that is published under the GNU General Public License. It is the first in the ToyFDTD series of codes, and it illustrates in heav)

the program consists of- 1 GUI development in Matlab, 2 Convolution of analog signal 3 Correlation of analog signal 4 DFT calculation 5 Convolution of infinite signal using overlap method

MATLAB工具箱编写BP神经网络的非线性系统用于非线性函数拟合(Written MATLAB toolbox for nonlinear systems BP neural network for nonlinear function fitting)