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RBF神经网络模型，sinmulink模型仿真，画图分析程序，pid控制结构(RBF neural network model, sinmulink model simulation, drawing analysis program, PID control structure)

rectifier electrical converter

将断层剖面划分为一组网格，并以固定的事件数或固定的扫描半径，计算每个网格点处的b值。然后用色彩表示断层面上b值的分布情况，从而反应断层的应力积累情况，便于地震学家分析该断层是否存在发震的可能(This subroutine creates a grid with spacing dx,dy (in degreees). The size will be selected interactively or grids the entire cross section. The b-value in each volume is computed around a grid point containing ni earthquakes or in between a certain radius. The standard deviation is calcualted either with the max. likelihood or by bootstrapping, when that box is checked. If not, both options can be assigned by the additional run assignment. Standard deviation of b-value in non-bootstrapping case is calculated from Aki-formula!)

基于最小二乘算法（RLS)的回波消除，直接可以运行(Based on least squares algorithm (RLS) of echo cancellation can be run directly)

MIMO-OFDM的实现，不同点数的OFDM的实现以及SISO 和 MIMO之间的性能对比。(Implementation of MIMO-OFDM, OFDM, and the realization of the performance comparison of different points between SISO and MIMO.)

此代码用于ECG波形的QRS检测，采用常见的可实时检测波形的算法。(This code for the ECG waveform of QRS detection, the use of commonly available real-time detection algorithm waveform.)

Otsu-最大类间方差Matlab代码 最大类间方差法原理：最大类间方差法是由日本学者大津于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2 部分。背景和目标之间的类间方差 ％ 大,说明构成图像的2 部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2 部 ％ 分差别变小。(Otsu- Otsu Matlab code Otsu Principle : Otsu law by Japanese scholars in the large-1979's, is an adaptive threshold established methodology, also known as big-law, referred to Otsu. It is based on image characteristics of the gray image can be divided into the background and objectives of Part 2. Background and objectives between the between-class variance%, which meant that the two images form part of the greater difference, When some background into the wrong target or part of the background into the wrong target will lead to sub-2% difference becomes smaller.)

A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions.

轴承故障信号vmd分解及输出频谱图和幅值图，内含main、vmd及输出频谱图和幅值图三个程序，直接用main就行(VMD decomposition of bearing fault signal and output spectrum and amplitude diagram)

二维FDTD程序，采用PML边界s 用pml和mur分别计算j=1处的Hz(i,1).计算空间扩大到400*400，不加边界，运行相同的时间步(2D FDTD procedures, Application of the PML's border with pml and mur calculated j = 1 Hz of (i, 1). for the space to expand to 400* 400, without borders, running the same time step)