课程作业时的人脸3D识别，MATLAB编译

不考虑压缩的REYNOLDS方程的求解简单程序(Not consider compression REYNOLDS equations simple procedure)

用Pisarenko谐波分解法估计一组实验数据的正弦频率及幅度。得出真实功率谱密度。(Pisarenko harmonic decomposition method with a set of experimental data estimate the sinusoidal frequency and amplitude. The true power spectral density obtained.)

说明：  It is code about how to coding menu of some plamt

matlab课程编程【谷速软件】matlab彩色分割的ΔE色差(matlab programming courses [Valley] matlab software speed color segmentation ΔE color)

M6e 超高频读写器相关调试源代码和相应文档(M6e UHF reader related debugging source code and corresponding documentation)

gives an control scheme of the wind enery system

matlab时频分析，STFT, CWT，WVD，平滑伪WVD，伪WVD，Rihacazek分布，Margenau-Hill分布，Page分布，伪Page分布，Choi-Williams分布，重排伪Wigner-Ville分布， 重排伪page分布，对时频分析学习的很好资料，对非平稳信号处理有很大帮助，无损检测，振动检测，对学习和处理信号有很大帮助(Matlab time-frequency analysis, STFT, CWT, WVD, smoothed pseudo Wigner Ville distribution (WVD), pseudo WVD, the distribution of Rihacazek, Margenau Hill distribution, distribution page, pseudo page distribution, Choi Williams distribution, rearrangement of pseudo Wigner Ville distribution, rearrangement pseudo page distribution, time-frequency analysis of very good learning materials, for non-stationary signal processing is of great help, nondestructive testing, vibration testing of learning and signal processing is of great help)

加权中值滤波,用于图像增强,只用于超声图像,对超声图像去噪有很好的效果(Weighted median filter is used for image enhancement, only for ultrasonic image, has the very good effect on the ultrasonic image denoising)

模糊滑模控制的matlab仿真，希望对大家有用(Fuzzy Sliding Mode Control of matlab simulation, in the hope that useful to everybody)

用matlab编程工具，编写具有操作界面的应用程序，通过菜单、对话框，选项框等界面控制，对算法进行演示。需要在应用系统中实现的算法及功能包括： 1、图像增强算法 （1）灰度线形变换：亮度及对比度可以调节（通过控制参数的改变，能够实时预览变化结果）； （2）直方图均衡：可在界面上对比均衡前后的效果。 2、图像变换算法 （3）对一幅彩色图像进行DCT变换和反变换，对比结果和原图； （4）仅保留左上角16X16的DCT系数，进行反变换，计算结果图的信噪比SNR。 3、图像分割算法 （5）采用最优阈值算法对灰度图像进行分割； （6）用Canny算法对灰度图像进行边缘检测； （7）用hough变换，检测边缘图像中的直线，并用不同颜色将检测出的直线叠加显示到原图像上。 (Preparation of a user interface with Matlab programming tools, applications, menus, dialog boxes, option boxes and other interface control, the algorithm demo. Algorithms and functions that need to be achieved in the application system including: 1, the image enhancement algorithm (1) gray linear transformation: the brightness and contrast can be adjusted (by controlling the change of the parameters, it is possible to real-time preview changes result) (2) Histogram equalization : contrast before and after equalization effect in the interface. 2, an image transformation algorithm (3) for a color image DCT transform and inverse transform, comparing the results and the original (4) to retain only the upper left corner of 16x16 DCT coefficient, the inverse transform, the signal-to-noise ratio SNR calculation results of FIG. . 3, image segmentation algorithm (5) The optimal threshold algorithm to gray-scale image segmentation (6) Canny algorithm for edge detection of gray-scale images ()