icaFacesCode

FLKT是C++之父写的教材中用到的GUI库。(FLTK (pronounced "fulltick") is a cross-platform C++ GUI toolkit for UNIX® /Linux® (X11), Microsoft® Windows® , and MacOS® X. FLTK provides modern GUI functionality without the bloat and supports 3D graphics via OpenGL® and its built-in GLUT emulation. FLTK is designed to be small and modular enough to be statically linked, but works fine as a shared library. FLTK also includes an excellent UI builder called FLUID that can be used to create applications in minutes. FLTK is provided under the terms of the GNU Library Public License, Version 2 with exceptions that allow for static linking. )

本程序可以产生LFM信号，经过实验验证，程序正确，可以执行，改变参数即可得到你想要的图形(produce a LFM signal)

这是MATLAB小型的。下下去看看嘛，活血对你以后的学习有帮助(This is a small MATLAB. To see them go under, Huoxue after learning of your help)

2D HOMOGRAPHY FOR IMAGE PROCESS

内涵PCA降维;SMOTE插值;t-SNE降维等算法的随机森林算法，以及鸢尾花数据集，有利于新手或者工程性实验借鉴~(Connotative PCA dimensionality reduction; SMOTE interpolation; t-SNE dimensionality reduction algorithms such as random forest algorithm, as well as iris data sets, is conducive to novice or engineering experiment reference ~)

matalab的线性语音编码的相关程序，很好的，可以用的(matalab linear speech coding procedures, very good, can be used)

This is an efficient implementation of the algorithm for calculating the universal image quality index proposed by Zhou Wang and Alan C. Bovik. Please refer to the paper "A Universal Image Quality Index" by Zhou Wang and Alan C. Bovik, published in IEEE Signal Processing Letters, 2001.

BFT,正交傅里叶变换，用于检测线性调频斜率的方法。仿真与论文结果一致。(BFT, orthogonal Fourier transform for detecting the slope of the linear frequency modulation method. Simulation results are consistent with the thesis.)

自动泊车系统matlab源代码简单的部分还需改进行吧(The simple source code of MATLAB for automatic parking system needs to be improved.)

张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。(Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction of wavelet transform, multi-resolution analysis of the signal and Mallat algorithm as the focus of the book, and on this basis, further elaborated biorthogonal wavelet multi-resolution analysis wavelet packet multi-resolution analysis, the lifting wavelet applications, but also about the application of wavelet analysis in the singularity detection, de-noising and data compression.)