Sgongzhennokt

To develop functional modules to process grayscale image intensity data. And perform Point and spatial operations. Uses Prewitt, Sobel, and Laplacian of Guassian Methods. And calculates their histograms. (To develop functional modules to process grayscale image intensity data. And perform Point and spatial operations. Uses Prewitt, Sobel, and Laplacian of Guassian Methods. And calculates their histograms.)

化学计量学去卷积算法 The N-way Toolbox for MATLAB(mass spectrual devoluting in GC/MS LC/MS MS/MS The N-way Toolbox for MATLAB)

车牌字符分割Matlab程序，可以实现车牌的字符分割(License plate character segmentation Matlab program, you can achieve the license plate character segmentation)

最优PID控制器资料，包含matlab程序和详细的文档说明。对做pid控制的肯定有帮助( Optimal PID controller matlab program and documentation)

用MATLAB进行线性调频信号及脉冲压缩仿真(Using MATLAB for linear FM signals and pulse compression simulation)

我们提出了一种新的方法来实现全光 微波使用光纤布拉格光栅阵列滤波 相同的反射率。确定了过滤器攻丝系数 通过一个宽带光源的光谱分布和 光栅的中心波长。由于光纤布拉格 光栅有相同的反射率，其特征 高均匀度的光栅是可能的，从而简化了 光纤布拉格光栅的制作，降低了实现 错误。此外，该宽带光的光谱分布 源可以控制使用的光学过滤器，可用于 控制滤波器系数的滤波器的旁瓣抑制。一个 微波滤波器采用四个光纤布拉格光栅的实验 实施。 (We propose a novel approach to realizing all-optical microwave filtering using an array of fiber Bragg gratings with identical reflectivities. The filter tapping coefficients are determined by the spectrum profile of a broadband light source and the central wavelengths of the gratings. Since the fiber Bragg gratings have identical reflectivities, the characteristics of the gratings with high uniformity are possible, which simplifies the fiber Bragg grating fabrication and reduces the implementation error. In addition, the spectrum profile of the broadband light source can be controlled using an optical filter, which could be used to control the filter coefficients to suppress the filter sidelobes. A microwave filter using four fiber Bragg gratings is experimentally implemented.)

Matlab中基于dq变换的锁相环仿真研究.(Matlab based on dq transformation of phase-locked loop simulation.)

This toolbox was written for my own education and to give me a chance to explore the models a bit. It is NOT intended for any serious applications and it does not NOT do many of things you would want a mature implementation to do, like leaf pruning. If you wish to use a strong implementation I recommend Scikit Learn / Python. For Matlab I do not really have a recommendation.

rain removal system from image...........................................

Stretches contrast on the image and normalize image from 0 to 1. The main difference of this function to the standard stretching functions is that standard function finds global minimum and maximum on the image, then uses some low and high threshold values to normalize image (values below LowTHR are equated to LowTHR and values above HighTHR are equated to HighTHR)