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ZSNPG
- To code function in matlab, and draw the figure of matlab problem sets, for your reference
SmallTools
- 如果在matlab中已经打开一一个figure,输入t之后就可以选取想要的点,按y即可确定,接着输入下一个点。按q推出程序。所有点的坐标保存在x_all和y_all中。(If you have already opened a figure in MATLAB, you can select the desired point after you enter t, press y to determine, and then enter the next point. Press Q to la
4platformheadingplot
- 用户将matlab所画图像根据任意输入角度旋转并移动至输入位置(rotate and move figure)
fractal
- 我们会遇到一些很特别的函数,用MATLAB画出最美图形(We will have some special functions, using MATLAB to draw the most beautiful figure)
tt
- 在matlab中,求方程的数值解,并画出解的图形(In MATLAB, we find the numerical solution of the equation and draw the figure of the solution.)
OFDM-master (1)
- ofdm仿真,用matlab仿真实现ofdm,为初学者提供一条道路(The proposed secret data embedding and extraction in OFDM is shown in figure 1.In order to achieve higher data rate, the serial data stream bits are converted in to parallel data output bits. Then the modulation s
Fault_diagram
- 读取多帧图片合成GIF动图以及将GIF动图读出帧数图片的MATLAB程序(Read the multi frame image synthesis GIF action figure and GIF map reading frames images MATLAB program)
magnify
- 图形的放大截取处理,matlab中画的任何图形都可以用这个程序来放大,放大之后的图形会自动生成相应的坐标系。(The magnification of the graph is taken, and any figure drawn in matlab can be amplified by this program, and the corresponding coordinate system will be automatically generated after the zoom.)
dengzaoshengxi
- 使用MATLAB对射频放大器的等噪声系数圆进行设计绘图(Use MATLAB to design and draw the equal noise figure circle of RF amplifier.)
plate_gui_fig
- Figure of GUI RCS using matlab code
已读论文仿真文-第四章图仿真程序
- 依据《 认知无线电系统频谱感知技术研究 》硕士论文, 自己做的论文第四章图的matlab仿真程序,合作频谱感知的内容(According to the descr iption in the master's thesis of cognitive radio system spectrum sensing technology, the MATLAB simulation of the figure in chapter 4 of my thesis)
Lee
- 基于matlab的一种lee滤波算法,提供原图、噪声图以及算法(A Lee filtering algorithm based on MATLAB provides the original image, noise figure and algorithm)
核范数填补互质阵列
- ) Please execute "main_coarray_MUSIC_interpolation.m" in MATLAB. cvx package (http://cvxr.com/cvx/) is required in Line 71. It is expected to obtain two figures similar to Figure 2 of [1]. 2) weight_function.m returns the weight fun