IIRdesign

用MATLAB实现动态系统的求导与积分函数(MATLAB diff and int)

MATLAB雙向濾波器的原始碼，考慮空間和強度兩個區域(bilateral filter source code)

he fi eld of plasmonics has grown dramatically over the past decade, and still continues growing towards new directions enabling new fundamental science and device tech-nologies. Research in this area explores how electromagnetic fi elds can be confi ned over dimensions smaller than the wavelength. It is based on interaction processes between elec-tromagnetic radiation and conduction electrons at metallic interfaces or in small metallic nanostructures.(he fi eld of plasmonics has grown dramatically over the past decade, and still continues growing towards new directions enabling new fundamental science and device tech-nologies. Research in this area explores how electromagnetic fi elds can be confi ned over dimensions smaller than the wavelength. It is based on interaction processes between elec-tromagnetic radiation and conduction electrons at metallic interfaces or in small metallic nanostructures.)

天线相位中心偏差变化及改正模型对精密单点定位精度的影响(Antenna phase center offset correction model changes and precise point positioning accuracy of)

可以实现复杂环境下的预测，模糊粒计算下的支持向量机(Support Vector Machine Based on Fuzzy Granular Computing and Prediction in Complex Environment)

替代数据法中最重要的文献和文献相关的软件代码，非常经典亚(alternative method of data the most important literature and the literature related to the software code, very classic Asia)

WGS-84 -> ECEF ECEF -> WGS-84 极坐标系 -> ECEF ECEF -> 极坐标系(WGS-84-> ECEF ECEF-> WGS-84 polar-> ECEF ECEF-> polar)

说明：  运用博弈论，进行机器人避障避障，若多机器人之间存在动态碰撞，利用博弈论构建多机器人之间的动态避障模型，并利用虚拟行动法来解决博弈的求解问题及多Nash 均衡的选择问题，确保每 个机器人 能够快速学习到最优Nash 均衡(robot avoiding if there are dynamic collisions between multi-agents, the game theory is used to construct a dynamic obstacle avoidance model between multi-agents, and the virtual action method is used to solve the problem of solving the game and the selection of multiple Nash equilibriums to ensure that each agent can quickly learn the optimal Nash equilibrium.)

说明：  一个双向LSTM程序 Long Short Term 网络—— 一般就叫做 LSTM ——是一种 RNN 特殊的类型，可以学习长期依赖信息。LSTM 由Hochreiter & Schmidhuber (1997)提出，并在近期被Alex Graves进行了改良和推广。在很多问题，LSTM 都取得相当巨大的成功，并得到了广泛的使用。 LSTM 通过刻意的设计来避免长期依赖问题。记住长期的信息在实践中是 LSTM 的默认行为，而非需要付出很大代价才能获得的能力！ 所有 RNN 都具有一种重复神经网络模块的链式的形式。在标准的 RNN 中，这个重复的模块只有一个非常简单的结构，例如一个 tanh 层。(A bidirectional LSTM program Long short term network, commonly known as LSTM, is a special type of RNN that can learn long-term dependent information. LSTM was proposed by Hochreiter & schmidhuber (1997) and recently improved and promoted by Alex graves. In many problems, LSTM has achieved great success and has been widely used. LSTM is designed to avoid long-term dependency. Remember that long-term information is the default behavior of LSTM in practice, not the ability to acquire it at a great cost! All RNNs have a chained form of repetitive neural network modules. In the standard RNN, this repetitive module has only a very simple structure, such as a tanh layer.)

关于交通流量的仿真，利用matlab编写的元胞自动机的仿真程序！很好玩哦！很棒哦！(On the traffic flow simulation, matlab prepared using cellular automata simulation program! Oh is a lot of fun! Oh great!)