FCmodel

基于matlab的温度场模拟，相关人员可以参考尝试看看。(Matlab-based simulation of temperature field, related personnel can refer to try.)

利用拉普拉斯变换求解偏微分方程组，具体应用到了试井分析中。(Laplace change)

计算图像的平均梯度和边缘强度的matlab源码，M文件形式(Calculating the average image intensity gradient and the edge of the matlab source, M documents in the form)

这个MATLAB例程是在OFDM信道下的BPSK仿真(This MATLAB routine is the BPSK OFDM channel simulation)

这本书最近看的觉得挺有用的，希望能对做这方面的朋友有所帮助！谢谢！(This book recently read that Tingyou use, hoping to make friends in this area help! Thank you!)

利用计算机编程实现加性干扰信号的维纳滤波(Use of computer programming plus interference signal Wiener filter)

首先对图像进行了边缘检测，设计相应的结构元素对图像进行腐蚀，再进行图像聚类和填充图像。(First, the image edge detection, the design of structural elements corresponding to the image etched image clustering and then fill the image.)

ACE自适配通信环境（ADAPTIVE Communication Environment）是可自由使用、开放源码的面向对象（OO）框架（framework），它实现了许多用于并发通信软件的核心模式。ACE提供了一组丰富的可重用C++包装外观（wrapper facade）和框架组件，可跨多种平台完成通用的通信软件任务，其中包括：事件多路分离和事件处理器分派、信号处理、服务初始化、进程间通信、共享内存管理、消息路由、分布式服务动态（重）配置、并发执行和同步，等等。(ACE Adaptive Communication Environment (ADAPTIVE Communication Environment) is free to use, open source object-oriented (OO) framework (framework), it implements a number of concurrent communication software for the core model. ACE provides a rich set of reusable C++ Packaging appearance (wrapper facade) and the framework components, can be a variety of cross-platform communications software to complete common tasks, including: multi-way separation of incident and event processor assignment, signal handling, service initialization, interprocess communications, shared memory management, message routing, distributed service dynamically (re) configuration, concurrent execution and synchronization, and so on.)

说明：  LSE参考点定位算法在UWB中的仿真，可以自由设置噪声水平和参考点个数。(LSE reference point UWB positioning algorithm in the simulation, they can set up noise level and reference point number.)

说明：  有脉冲干扰 下的柔性机械臂的模糊控制方法。采用神经网络训练出来的T—S模糊控制器，控制效果不错。只有仿真模块，没有文字说明。(pulse interference with the interference of fuzzy manipulator control methods. Using neural network training, the T-S fuzzy controller, control effectiveness. Only Simulation Module, there is no written statement.)