mixture_of_gaussians

时域分析 频域分析程序 GUI设计 数据是台架振动数据 (pretreatment of vibration signal)

利用自然梯度算法，ML法能够很好的估计信号的信噪比,考虑雨衰 阴影 和多径影响。( Use of natural gradient algorithm, ML estimation method can be a good signal to noise ratio, Consider shadow rain attenuation and multipath effect.)

MATLAB编程实现语音信号的时域特征提取，如分帧、过零率、短时能量、语谱图等(Speech signal feature extraction)

image processing-average

Traz de volta os arquivos ocultos e potegidos do sistema dentro de um diretorio especifico

suppose we r having ECG disease data in time-domain plot, with the help of these code. we generate the magnitude diagram of the ECG.by using continuous wavelet transform.at different scale also we can plot phase,contour plot.

主要包括图像的中值、均值去噪、非局部均值、分块局部去噪算法；还有均方误差和峰值信噪比评价、以及matlab基础学习资料如边缘检测、小波变化、灰度值转换等(Including image median, mean denoising, non-local means, block local denoising algorithm also mean square error and peak signal to noise ratio evaluation, and matlab based learning materials such as edge detection, wavelet transform, gray scale value conversion wait)

simple implementation of a morse code project

The library of linear classifier

Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karaboga in 2005, motivated by the intelligent behavior of honey bees. It is as simple as Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms, and uses only common control parameters such as colony size and maximum cycle number. ABC as an optimization tool, provides a population-based search procedure in which individuals called foods positions are modified by the artificial bees with time and the bee’s aim is to discover the places of food sources with high nectar amount and finally the one with the highest nectar.