Basic_Concepts_in_Matlab

衡虚警检测的程序，不敢独享，与大家分享！希望对大家有帮助(Value false alarm detection procedures, not exclusive, to share with you! We want to help)

很多的MATLAB源程序，可以用于一般的学习和应用。(Many of the MATLAB source code can be used for general learning and application.)

单次快拍二维ESPRIT算法，通过构造单次快拍等效协方差矩阵实现二维DOA估计(single snapshot 2D ESPRIT algorithm)

Arch-specific APEI-related functions.

读书小报告 source code for freinds, 免费版本(small study report freinds source code for free version)

光伏并网系统中的双逆变器拓扑结构及其控制策略研究(dual-inverter topology and control strategy for Grid-connected PV application )

Chevyshev algoritmo de filtro

多输入多输出系统的多用户信号盲分离MATLAB程序。(multiple-input multiple-output system of multi-user Blind Signal Separation MATLAB program.)

用于评估双目视差的development kit(the estimation for development kit in matlab)

In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either be lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying marginally important information and removing it. The process of reducing the size of a data file is popularly referred to as data compression, although its formal name is source coding (coding done at the source of the data, before it is stored or transmitted).