DYZ

说明：  经典层次聚类算法DIANA，MATLAB编程，简单易懂，可以运行(Classical hierarchical clustering algorithm DIANA, MATLAB programming, easy to understand, you can run)

一种空间平滑MUSIC算法的MATLAB源程序(A spatial smoothing MUSIC algorithm MATLAB source)

《Neural Network Design》 Martin T. Hagan, Howard B. Demuth, Mark H. Beale 一书中相关matlab演示程序软件包。对于学习很有参考。( Neural Network Design Martin T. Hagan, Howard B. Demuth, Mark H. Beale, a book related to matlab demo program package. Good reference for the study.)

this is psim mppt exemple

共轭MUSIC与平滑MUSIC，来实现波达方向估计(The conjugated MUSIC smoothing MUSIC DOA estimation)

使用matlab对两幅图像进行匹配，效果很好，值得参考！(Using matlab to match two images of the good results, it is also useful!)

关于捷联惯性导航传递对准的仿真程序，期待学术交流~谢谢分享~(Simulation program on Transfer Alignment of Strapdown Inertial Navigation and look forward to the academic exchange ~ Thank you for sharing ~)

picture object recognition

JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and --- subject to certain very reasonable constraints --- to redistribute. Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time / frequency analysis, including advanced wavelet algorithms developed by myself and collaborators. (JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and--- subject to certain very reasonable constraints--- to redistribute. Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time/frequency analysis, including advanced wavelet algorithms developed by myself and collaborators. )

Water filling algorith for optimal power allocation in downlink wireless communication