File-to-Array-Converter-system

用MATLAB生成QPSK信号，并通过瑞丽信道和AWGN信道的仿真。(MATLAB QPSK signal generation, and through Ruili Channel and AWGN channel simulation.)

k-d树的matlab程序，包含了KDTREE, KDTREEIDX and KDRANGEQUERY functions。提供了两个Demo scripts(kdtree_demo.m & kdrange_demo.m),很实用( This distribution contains the KDTREE, KDTREEIDX and KDRANGEQUERY functions. Included are the source code files in kdtree/src, as well as precompiled mex files for the following systems: - Mac OS X (Matlab 6.5) - Redhat Linux (Matlab 6.5) - Windows (Matlab 6.1) Two demo scripts are provided (kdtree_demo.m & kdrange_demo.m). The new features added June 2004: + You can now use N dimensional data points, where N>3. + Use KDTREEIND to return the index value to the closest point, instead of the closest point values. + KDRANGEQUERY can now return these index values as well. Written by/send comments or suggestions to : Guy Shechter guy at jhu dot edu June 2004 )

光伏并网系统 三大服务而非我基于PI控制的电流内环控制 (PV grid system three services rather than my inner current loop control based on PI control)

简单的无约束PSO算法，适合初学者，可以进行改进(PSO algorithm for unconstrained simple, suitable for beginners )

MIT人工智能实验室的目标识别的源码，MATLAB版本的，非常适合计算机视觉方面的研究使用。(MIT artificial intelligence laboratory identification of the target source code, version of the MATLAB, very suitable for computer vision of study.)

多机器人编队的matlab实现的相关论文。实现了编队与壁障等功能。利用matlabAPI与MFC编写出了仿真环境。(Matlab implementation of the multi-robot formation of the relevant papers. Formation and barrier function. The use matlabAPI MFC write the simulation environment.)

this function returns the SIFT descriptors DESCR of the SIFT frames P defined on the octave G of the Gaussian scale space.

这是一个关于K均值的聚类算法希望对大家有用(This is a study on K-means clustering algorithm to all of us hope that useful)

这本书系统的讲了LTE的发展背景，关键技术，以及发展的趋势。对于初学者来说是不错的一本书。(This book introduced the LTE system development background, key technology and trends. For beginners it is a very good book.)

这是关于MATLAB和CSharp混合编程的资料，讲解的很清楚(This is on the MATLAB and Hybrid Programming CSharp information, explain the very clear)