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ImagesIEEE上的论文有关图像处理的论文：走向快速3D耳识别现实生活中的应用生物识别技术 (TOWARDS FAST 3D EAR RECOGNITION FOR REAL-LIFE BIOMETRIC APPLICATIONS)

很好用的osu_svm.堪比libsvm， 有疑问可以直接联系。(Good used osu_svm. Rivals libsvm, doubt can have a direct link.)

说明：  自动寻找阈值，实现图像分割。很好用啊！Matlab 编写！(Automatic find threshold, realize image segmentation. Very good! Matlab! )

simulation simulink block diagram to realize BPSK modulation

本书以MATLAB 7为版本，由浅入深地介绍MATLAB的工作环境、基本语法、数值运算、符号运算、二维和三维图像创建与编辑、高级图形图像处理、句柄图形、图形用户操作接口（GUI）、程序设计与调试、M文件的使用、MATLAB编译器、Simulink交互式仿真集成环境的应用，以及MATLAB的外围功能和应用程序接口等内容；并通过MATLAB在高等数学、信号处理及数字通信、数字图像处理方面的应用，介绍MATLAB在实际中的应用。(Book MATLAB 7 to version, it gradually introduces the MATLAB environment, basic grammar, numerical computation, symbolic computation, two-dimensional and three-dimensional image creation and editing, advanced graphics, image processing, handle graphics, graphical user interfaces operate (GUI ), program design and debugging, M file usage, MATLAB Compiler, Simulink simulation integrated environment for interactive applications, and MATLAB peripheral functions and application programming interfaces, etc. and through MATLAB in advanced mathematics, signal processing, and digital communications, digital image processing applications, the introduction of MATLAB in practical application.)

说明：  使用单纯形算法整定pid参数的例程还可以(PID parameters tuning by simplex algorithm)

Matlab实现的带通滤波器(Matlab the band-pass filter)

基于matlab编写的该程序，可以用于计算9层和9自由度建筑物模型在地震作用下响应。 (The program is written in Matlab based, can be used to calculate the excitation of 9 layer and 9 degrees of freedom model and input seismic building.)

MATLAB~数字信号处理 小波去噪实例(MATLAB~Digital signal processing of the wavelet denoising instance )

The package includes the MATLAB code of the multi-instance learning algorithm miFV, which is an efficient and scalable MIL algorithm. miFV maps the original MIL bags into a new feature vector representation, which can obtain bag-level information, and meanwhile lead to excellent performances even with linear classifiers. In consequence, thanks to the low computational cost in the mapping step and the scalability of linear classifiers, miFV can handle large scale MIL data efficiently and effectively. A Readme file and some data files are included in the package.