industrial-strength

在matlab中实现心10s电数据动态显示(In the heart of the matlab realize 10s electricity dynamic data display)

说明：  将Minpack库中的LM算法封装成库，经过调试，通过算例运行结果与Matlab中运行出来的结果相差0.01范围内。(Will Minpack library package into the LM algorithm library，After debugging An example is the results is only 0.01 Difference from the result of Matlab s! )

用vs2013写的霍夫曼编码程序，可将.txt中的英文字符串（包括各种字符如：逗号）编码后输出到一个.txt中，并且可输出构建的霍夫曼树,保存编码方式。(Huffman coding using vs2013 to write programs in English can be txt string (including a variety of characters such as: the comma). Encoded output to a txt, and can output to build Huffman tree, save the encoding. .)

FFT算法C语言实现 和MATLAB中fft函数结果一样的功能(FFT algorithm C language and MATLAB fft function results in the same function)

2PSK调制器的设计,在通信原理教学中应用MATLAB语言，可借助MATLAB方便的绘图性，把信号的频谱用MATLAB图形,很好地展现给学生，这样学生可以通过形象的图形来掌握抽象的理论，从而更好地理解原理．(2PSK modulator design, principles of teaching in the communications applications MATLAB language, can take advantage of MATLAB graphics and convenient, the spectrum signal using MATLAB graphics, a good show to the students so that students can grasp the image of the graphics to the theory of abstract to better understand the principle.)

二维情况下用ＦＤＴＤ方法模拟电磁波的传播情况，加入了理想匹配层，用Ｃ和MATLAB混合编程，信号源是高斯脉冲(Two-dimensional case with the FDTD simulation of electromagnetic wave propagation, no additional absorbing boundary condition, mixed with the C and MATLAB programming, the signal source is a Gaussian pulse)

lte中turbo编译码的源代码，使用c语言开发，可用(turbo encode and decode)

利用非线性控制完成光伏并网逆变器的设计，设计中采用模糊控制和反步法，介绍很好。(Using nonlinear control to complete the design of the photovoltaic (pv) grid inverter, adopted in the design of advanced reverse moves, the introduction is very good.)

字符编码之间的转换解决中文字符的显示问题(A character encoding conversion between Chinese character display problem)

This deliverable is the final deliverable of workpackage 3 “MU-MIMO in practice”. It builds on the previous deliverables D3.1 and D3.2 and includes results tasks 3.2 on channel modelling for MU-MIMO (Note that this task has been extended to month 24) and task 3.3 on the implementation of the selected MU-MIMO algorithms on the OpenAirInterface development platform.