Quantitative-v15

认知无线电中博弈论自适应功率控制中的实现(Game theory in cognitive radio in the realization of adaptive power control)

Bch码编译码仿真程序，可以直接在Matlab环境下运行(Bch CODE simulation program can be directly run under Matlab environment.)

捷联惯惯性导航的C程序实现，四元数表示姿态，静态下进行试验，MATLAB进行图像处理，包含原始数据。(Strapdown inertial navigation of the C programs used to achieve, said the attitude quaternion, static tests under, MATLAB for image processing, including raw data.)

说明：  HiSilicon HI3520 DVRSOC Documentation

说明：  利用Python实现卷积神经网络，适合初学者借鉴，参考。(Using Python to realize convolution neural network is suitable for beginners to learn and refer to.)

一个很简单的华容道小游戏，大家来看看 是用JAVA 做的 我的开放性试验作业-a very simple little game HuaRong Road, we look at the use of Java do I open trial operation

编程创建一个Box类，在其中定义三个变量表示一个立方体的长、宽和高，再定义一个方法setDemo对这三个变量进行初始化，然后定义一个方法求立方体的体积。创建一个对象，求给定尺寸的立方体的体积。对这个内容的编程代码及结果实现-Programming to create a Box class, in which the three variables that define a cube of length, width and height, and then define a method setDemo these three variables initialized, and then define a method, to calculate the volume of the cube. Create an object, seeking for a given volume of the cube size. The content of this programming code and the results achieved

本书不仅回顾了通信信号处理的经典研究领域，如自适应均衡、信道建模和识别、多用户检测和阵列处理，而且分析研究了一些新领域，如自适应编码调制、多输入多输出（MIMO）系统、分集合并和时频分析。此外，本书还探讨了神经网络、蒙特卡洛马尔可夫链和混沌等新兴技术，并对未来移动通信具有发展前途的方法进行了很好的概括性阐述。(The book investigates classical SP areas such as adaptive equalization, channel modeling and identification, multi-user detection, and array processing. It also investigates newer areas such as adaptive coded modulation, multiple-input multiple-output (MIMO) systems, diversity combining, and time-frequency analysis. It explores emerging techniques such as neural networks, Monte Carlo Markov Chain (MCMC) methods, and Chaos. It offers an excellent tutorial survey of promising approaches for future mobile communications such as cross-layer design in multi-access networks and adaptive wireless networks.)

ldpc的peg算法消除四环，尽量只存在六环-the peg algorithms ldpc

说明：  An-efficient-resource-allocation-algorithm-for-OFDMbased-NOMA-in-5G-systems