emd

动画练习-时间翻页，QML语言集合C++实现(animation practice，time slipt，using QML and C++)

用matlab的s函数功能，实现多智能体间歇通信仿真(Using matlab function of s function, multi-agent simulation intermittent communication)

粗糙面电磁散射的相关方法，SPM，KA，一维海平面的生成，一维随机粗糙面的生成，土壤介电常数与频率，湿度的关系(Rough surface of the correlation method)

利用T2FNN進行MEC建模,針對IC散射現象進行量測與模擬比較(Type 2 fuzzy neural network for EMC)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

谱估计源程序：是谱估计中的经典算法基于线阵MUSIC等算法的源程序(spectrum estimation source : spectral estimation algorithm based on the classic line array MUSIC algorithm of the source)

编写一个可以从一幅图像中提取一幅矩形子图像的函数。(Write an image can be extracted from an image of a rectangular sub-functions.)

在本文中，我们将比较数字滤波器与模拟滤波器，讨论各种数字滤波器架构，并通过一个范例一步一步说明如何设计FIR(非递归)滤波器。(The design of FIR filter )

matlab海浪模拟程序文中的两个word分别是在二维和三维下海浪的波形图（有所提供的matlab源程序生成） bopu.m是标准的p-m谱，输入风级数和频率数得到该风级下的p-m谱 erweihailangboxing.m是生成三维海浪波形的源程序，输入风级数，频率数和角度数得到该风级下的海浪波形； hailangboxing.m是生成二维海浪波形的源程序，输入风级数和频率数得到该风级下的海浪波形； SDwave.m是分形法所用的源程序，与本线性得加法所采用的 方法不一样。。纯属我毕设的客串。。所得波形为二维的海浪。(wave matlab simulation program)

l这个工具是一个高版本的inux tools(this is a high linux tools)