guangfufadiandianchimoxing

自己编写的近邻法算法，包括k近邻法、两分剪辑和重复剪辑、压缩算法。在文档中给出了一个简单的算法原理说明，详细参考边肇的《模式识别》。注：里面的分类线绘制算法存在一些问题，仅供大家参考修改。(The nearest neighbor algorithm written by myself, including k nearest neighbor, the two sub-editing and re editing, compression algorithm. The document gives a simple algorithm principle . The detailed explanation can be found in the book Pattern Recognition written by Bian Zhaoqi. Note: The line drawing algorithms have some problems, only for your reference.)

c程序的105个经典的例子，新手很值得一看。(c program examples of the classic 105, novice is worth a visit.)

这是一个matlab主程序，介绍的是几种混沌系统吸引子的图像的主程序(This is a matlab main program, introduced several chaotic attractor is an image of the main program)

matlab常用算法的实现，还包括PPT讲解，很详细(matlab algorithm used, but also on the PPT, a very detailed)

与matlab有关的，非常实用的一些网页(with the Matlab, some very useful website)

matlab程序，fdtd算法创建pec完美匹配曾目标的程序，语言简单易懂(Matlab, FDTD algorithm to create the pec perfect match has target program, easy to understand language)

一种智能优化算法-粒子群算法的matlab源程序(particle swarm)

本程序对天线中的一种重要类型： 半波、全波、三倍半波天线波瓣图 进行了仿真和三维成像。有助于对天线中波瓣图的理解。(This procedure of an important type of antenna: half wave, full-wave, three times the half-wave antenna lobe pattern simulation and three-dimensional imaging. Contribute to the understanding of the antenna lobe pattern wave.)

Chroma Feature Analysis and Synthesis Chroma features are an interesting and powerful representation for music audio in which the entire spectrum is projected onto 12 bins representing the 12 distinct semitones (or chroma) of the musical octave. Since, in music, notes exactly one octave apart are perceived as particularly similar, knowing the distribution of chroma even without the absolute frequency (i.e. the original octave) can give useful musical information about the audio and may even reveal perceived musical similarity that is not apparent in the original spectra.

自适应模糊滑模控制器设计的matlab源代码，对于研究滑模变结构控制的同学很有用。(Adaptive fuzzy sliding mode controller design matlab source code for the study of sliding mode variable structure control students useful.)