SAR-polarization-filtering-methods-

说明：  随机信号的提取，通过matlab实现微弱信号的提取(Random signal extraction, through matlab to achieve the extraction of weak signal)

matlab软件实现的支持向量机（SVM）的分类与回归。(Support vector machine matlab software (SVM) for classification and regression.)

图像的稀疏表示，用小波系数经过的构造的矩阵稀疏化后，用少数的系数表示图像。(Image sparse representation, constructed after the matrix of wavelet coefficients after thinning, with a small number of coefficients represent the image.)

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.)

This model simulates a Foucault pendulum (a stiff system). The model calculates the normalized pendulum energy

Provides a comprehensive introduction to the study of computational intelligence.

使用MATLAB代码编写的聚类分析，可以完成多类数据的分类(using matlab complete class recognition)

graphical user interface

MIMO Channel using matlab

一种关于MIMO-OFDM系统盲频率同步的资料文档，用MATLAB进行仿真分析(A novel blind carrier frequency offset (CFO) estimation algorithm was proposed which is based on estimating signal parameter via rotational invariance techniques (ESPRIT) for multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems with virtual carriers. )