MonteCarlo_Copulas

fft变换仿真程序（应用于各种图像处理通信工程）(the code of frequency fft which can using in magic process and communication)

针对非均匀线阵，利用修正的Capon算法，不需要信源数目，就可以达到高分辨的DOA(In view of the non uniform linear array, using the modified Capon algorithm, does not need the source number, can achieve high resolution DOA )

利用matlab制作红色小球沿一条封闭螺线运动的实时动画，对制作动画很有启发性(Matlab produced using the red ball along a closed spiral movement in real-time animation, the animation was very instructive)

基于ANSYS APDL二次开发的航电设备的动力学扫频分析，载荷输入条件为交越频率以下为恒定位移，交越频率以上为恒定加速度。我将加速度输入转换为位移输入，将位移和加速度两段输入载荷统一按照位移载荷输入，将位移存入表数组，利用ANSYS APDL自动将扫频范围内的位移载荷存入表数组，并循环加载计算，实现了该工程结构的正弦扫频振动分析。(Kinetic sweep analysis, load input conditions of secondary development based on ANSYS APDL avionics for the crossover frequency less constant displacement, above the crossover frequency is constant acceleration. I will convert the input displacement input acceleration, displacement and acceleration loads unity in accordance with the displacement of the two input load input, the displacement of the array into the table using ANSYS APDL automatically load displacement within the sweep range of the array into the table, and cyclic loading calculated to achieve a swept sine vibration of the project structure.)

ARMA模型基于时间序列分析和预测，ARMA matlab程序源代码(ARMA model based on time series analysis and forecasting, ARMA program matlab source code)

基于matlab工具箱中的离散Hopfield神经网络的分类问题-高校科研能力评价(Matlab toolbox based on the discrete Hopfield neural network classification problems- Evaluation of Scientific Research)

一种计及不完备信息的电力系统抑制弧Petri网故障诊断改进模型，保证在出现保护、断路器发生误动、拒动或者警报信息出现丢失、畸变等异常情况时的故障诊断结果的准确性(An account of incomplete information systems inhibit electrical arc Petri nets improved fault diagnosis model, to ensure that in the event of the protection circuit breaker malfunction occurs, tripping or alarm message is lost, the accuracy of fault diagnosis distortion and other anomalies when the)

tidal prediction source code

一个控制系统中离散系统的模拟和结果演示，其中有Matlab运行结果图。(a discrete control system simulation system and the results of the demonstration, including Matlab running results map.)

System identification with adaptive filter using full and partial-update Generalised-Sideband-Decomposition Least-Mean-Squares