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基于Matlab的低通滤波器的设计源码，可以通过此代码，模拟低通滤波器的设计。并附有仿真后的图像。(Matlab low pass filter based on the design of source code, can this code, analog low-pass filter design. Together with simulation, the image.)

GPS/INS组合导航中的kalman 滤波(kalman filter in theGPS/INS Integrated navigation )

Matlab基础及其应用教程，提供给matlab初学者，很好的教材(Matlab and its application tutorial, available to matlab for beginners, good textbooks)

用SVM进行声音分类的程序，自己编的，效果挺好，用的是libsvm工具箱(With the sound of SVM classification procedures, own, and the effect is very good, with the libsvm toolbox)

《精通MATLAB+GUI》光盘的内容和所有例子的源代码(" Proficient in MATLAB+ GUI" CD-ROM contents and the source code for all examples)

求解 数值 分析 中的共 轭梯 度法 (conjugate method)

matlab小波分析的程序，实现与傅里叶变换的对比(matlab wavelet analysis procedures to achieve contrast with the Fourier transform)

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.)

关于系未分配问题的解和matalb程序，随机生成100组数据(Distribution on the system is not the solution and matalb procedures, randomly generated 100 sets of data)

MatlabVisualization Package