power-system-short-circuit-fault

1．产生一个连续信号，包含低频，中频，高频分量，对其进行采样，进行频谱分析，分别设计三种高通， 低通，带通滤波器对信号进行滤波处理，观察滤波后信号的频谱。 2.采集一段含有噪音的语音信号（可以录制含有噪音的信号，或者录制语音后再加进噪音信号），对其进行 采样和频谱分析，根据分析结果设计出一合适的滤波器滤除噪音信号(1. Produce a continuous signal, including low-frequency, medium frequency, high-frequency components, its sampling, spectral analysis, are designed for three high-pass, low pass, band-pass filter the signal filtering treatment to observe the signal spectrum after filtering. 2. Acquisition section of the speech signal contains noise (can record a signal containing noise, or voice recording, additional noise after the signal), its sampling and spectral analysis, based on an analysis of the results to design a suitable filter to filter out one noise signal)

matlab创始人moler的matlab书籍的源代码(founder moler the matlab matlab source code books)

二阶粒子群，比pso更加精确更加灵敏地优化函数。在标准pso算法中，微粒的飞行速度仅仅是微粒当前位置的函数，而二阶粒子群算法中微粒飞行速度的变化与微粒位置的变化有关(Second swarm, more sensitive and more accurate than pso optimize function. Pso algorithm in the standard, the particle particle flight speed is only a function of the current position, the second particle swarm flying speed of particles in the particle changes related to changes in the position)

Radial Basis Function Neural Controller for Tanker Ship Headin

drools activiti intergration

本程序是对64QAM-OFDM的调制解调及加AWGN的简单程序。做成GUI形式，能方便地梳理清楚整个过程。调制解调过程中加入了导频和CP循环前缀，可观察EVM和EbN0-BER曲线。(this program is about the modulation and demodulation based on Matlab.A simple program to familiar with the process of 64QAM-OFDM.Using reference and CP. You can observe EVM and the figure of EbN0-BER)

扩充后的fft2源代码。经典蝴蝶算法。数字图像处理，应用于图像。(Expanded the source fft2 code. Butterfly algorithm )

频点滤波代码 设计滤波器对干扰信号衰减，增强期望信号 从而取得滤波结果(Frequency filtering code design filter attenuation of interfering signals, and enhance the desired signal to obtain the filtering results)

MATLAB GUI教学视频4：Radio Button Check Box和Toggle Button的基本用法(MATLAB GUI instruction Video 4: Radio Button Check Box Toggle Button and basic usage)

Color segmentation using Mahanalobis distance