perception

这个turbo码的matlab仿真程序~~希望对大家会有用~~谢谢~~我只想要和大家分享一下(The turbo code matlab simulation program we hope will be useful ~ ~ ~ ~ ~ I just want to thank you and share with you)

通过实际的例子学习simulink中s函数的使用及编写(Learning through practical examples of the use of the simulink s in function and write)

基于 嵌 入式系 统 理 论和 容 错系 统 体系 结 构， 结 合故障 一 安 全电 路的 设计 理念， 给出 了 一 种 嵌 入式 二乘 二 取 二容 错计算 机 联锁系 统的 硬件 设计. 深 入阐 述了 系 统 硬件电 路的 设计理论依据和工 作原 理， 同 时 给出了 设计中 的 元 件选型. 通过功能 测试， 系 统设计符 合故障 一 安全的 设计原则， 理论 计 算 表明， 其可 靠 性、 安全 性 达 到 铁 路 信号系 统 要求(Based on the theory of embedded systems and fault-tolerant system architecture, combining design fail-safe circuitry, gives a socketed Take two squares two-in fault-tolerant computer interlocking system hardware design. Further expounded on system hardware circuit design theory and work Design principles for the principle, and gives the design of the component selection through functional testing, failure of a safety system designed to meet the theoretical Calculations show that the reliability, security, railway signaling system requirements to achieve)

vc与matlab联合编程实现圆环渐变功能(vc joint programming and implementation matlab functions Gradient Circle)

Binary for PCSE Updated and packed with an unkown packer

《MATLAB电机仿真精华50例》源代码(MATLAB simulation of the essence of 50 cases of motor)

将Matlab中现成的数学函数编译为动态链接库，供VC调用，可以省去工程应用中要编写各种C++数学算法的烦恼。这几个工程是我总结的几个案例，分别是VC6.0和VS2008下调用Matlab r2010a生成的dll的例子，还包括2个我自己做的矩阵求逆和数值积分的例子。(Will be ready in Matlab mathematical functions compiled to a dynamic link library for VC call, eliminating the need to write a variety of engineering applications in C++ mathematical algorithms trouble. These projects is a summary of a few cases, respectively, under VC6.0 and VS2008 dll call Matlab r2010a generated examples, including two of my own to do matrix inversion and numerical integration example.)

随便编写的，我刚学matlab图像处理，这是我的学习程序(Just write, I just learning matlab image processing, this is my learning process)

说明：  自适应网格划分通用程序包，美国伯克利大学开发的共享软件包。(Adaptive Mesh generic package, the United States developed at the University of Berkeley's share package.)

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.