LBM-two-phase

在控制工程中的应用，自动化的学生应该用的到(matlab in control engineering)

数字信号处理，用matlab来实现对信号的处理，这本书 是基础，手把手的教你(Digital signal processing, using matlab to achieve signal processing, this book is the basis, teach you hands-on)

本程序利用matlab来实现基于小波变换的多尺度图像边缘检测。(This word use matlab to detect edge especially based on Wavelet Transform。)

这时一些关于matlab连续小波变换的程序代码，希望对学习matlab的人有用处(At this time about the continuous wavelet transform matlab code, people who want to learn useful matlab)

matlab求解时滞微分方程教程，很详细，有例子。(Solving delay differential equations matlab tutorial)

详细介绍了优化算法-遗传优化算法和粒子群优化算法，给出了编程过程,(Optimization Algorithms (Genetic Optimization Algorithm and Particle Swarm Optimization Algorithm)are introduced in detail,the programm progress is gived)

数字图像处理，颜色模型，对图像进行颜色转换(Given a color image ‘football.jpg’. 1) Display the three component images: red, green and blue. 2) Perform histogram equalization for the original image in RGB color space, and display the result. 3) Convert RGB to HSV, equalize just V component of HSV image, convert the processing result back to RGB, and then display it. 4) Discuss and compare these results. )

A filter bank structure that can deal effectively with piecewise smooth images with smooth contours, was proposed by Minh N Do and Martin Vetterli. The resulting image expansion is a directional multiresolution analysis framework composed of contour segments, and thus is named contourlet. This will overcome the challenges of wavelet and curvelet transform. Contourlet transform is a double filter bank structure. It is implemented by the pyramidal directional filter bank (PDFB) which decomposes images into directional subbands at multiple scales. In terms of structure the contourlet transform is a cascade of a Laplacian Pyramid and a directional filter bank. In essence, it first use a wavelet-like transform for edge detection, and then a local directional transform for contour segment detection. The contourlet transform provides a sparse representation for two-dimensional piecewise smooth signals that resemble images.

Attend System it s on online attend system used to maintain attendence.

毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了cVnDbN算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 kLMAhvJ， 3 测试 4， 输出结果。 (Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining cVnDbN algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 kLMAhvJ , 3 test 4, the output result. )