FLC

主程序为mybss.m和fastica1.m。经过调试能够成功运行，和lmd一起使用效果不错，可以实现各频率的分离。(The main program is mybss.m and fastica1.m. After debugging can be run successfully, and lmd use with good results, the separation can be achieved for each frequency.)

绘制简化sinc函数方向图，以及和差天线方向图，论文中的天线方向图模型有详细的函数形式(Map simplified sinc function direction, and the poor and the antenna pattern, the antenna direction graph model of the paper has a detailed functional form)

说明：  一些MATLAB的学习资料，我个人觉得还挺有用，希望能对大家有所帮助！(Some MATLAB-learning materials, I personally think that' s kinda useful, hope you can help!)

在过程控制中，按偏差的比例（P）、积分（I）和微分（D）进行控制的PID控制器（亦称PID调节器）是应用最为广泛的一种自动控制器。(In process control, according to the ratio of deviation (P), integral (I) and differential (D) to control the PID controller (also known as PID regulators) is the most widely used an automatic controller.)

说明：  三种子波函数，sinc函数 正弦函数 Riker函数还有有限差分介质设定(Third seed wave function, sinc function, sine function has finite difference Riker media set)

LZ复杂度反映的是一个时间序列中，模式数量序列长度增加的速率。为了在计算机上对连续信号的复杂度进行计算，需要先将连续信号离散化，通过预处理后的心音信号符合这个要求。实现心音信号的分离(LZ complexity reflects a time series model number sequence length to increase the rate. For a continuous signal on the computer, the complexity of the calculation, you need to first discretize the continuous signal by pretreatment of the heart sound signals meet this requirement. To achieve the separation of heart sound signals)

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

mesuremant of the temperature

数学软件Matlab 学习资料（大学课件）(The Matlab software learning materials (courseware))

FDTD for 2D metal plane object, It is very valuable reference because is the basement for 3D FDTD program.