sample_microgid

MATLAB数值分析程序，多种算法均有，还有使用例子，均采用子程序调用形式(Numerical analysis program MATLAB, a variety of algorithms are used, and examples, adopts a subroutine call form)

Pisarenko 谐波分解算法源码,可用于对信号进行频率估计。(Pisarenko harmonic decomposition algorithm source code, can be used to estimate the frequency of the signal.)

第 5 代移动通信系统 (5G) 是面向 2020 年之后的新一代移动通信系统 , 其技术发展尚处于探 索阶段 . 结合国内外移动通信发展的最新趋势 , 本文对 5G 移动通信发展的基本需求、技术特点与可 能发展途径进行了展望 , 并分无线传输和无线网络两个部分 , 重点论述了富有发展前景的 7 项 5G 移 动通信关键技术 , 包括大规模天线阵列、基于滤波器组的多载波技术、全双工复用、超密集网络、自 组织网络、软件定义网络及内容分发网络 . 本文还概括性地介绍了国内 5G 移动通信的相关研发活 动及其近期发展目标 .(The fifth generation mobile communication system (5G) is a new generation of mobile communication system after 2020. Its technological development is still in the exploratory stage. Combining with the latest trends of mobile communication development at home and abroad, this paper prospects the basic needs, technical characteristics and possible development ways of 5G mobile communication development, and divides wireless transmission and wireless network into two parts, focusing on rich. Seven key technologies of 5G mobile communication, including large-scale antenna array, filter bank-based multi-carrier technology, full duplex multiplexing, ultra-dense network, self-organizing network, software definition network and content distribution network, are prospected. The related research and development activities and recent development goals of 5G mobile communication in China are also briefly introduced in this paper.)

face to face through face-side down until the back face, the only

说明：  2dpca的实现，主要用于人脸识别领域的应用(2dpca implementation, the main areas of application for face recognition)

首先信号建模，两种频率的正弦信号叠加，加白噪声和脉冲信号；对叠加信号滤波并提取特征(First, signal modeling, the two frequencies of the sinusoidal signal superimposed with white noise and the pulse signal superimposed signal filtering and extract features)

无网格法权函数求解子程序，需要和以上载的第一个程序和用！(without grid power function for subroutines, and the need to contain the above procedures and the use of one!)

该程序在matlab环境下完成抽样量化编码功能（非均匀量化）。(err)

Artificial neurone network ANN toolbox with pca

PQ分解法求取潮流，程序运行结果可靠，简单易于理解 (PQ decomposition strike trend result of the program is simple and easy to understand and reliable)