buck_boost

这是montecarlo仿真程序，是用MATLAB编写的，也很容易理解，对理解montecarlo很重要！(This is a montecarlo simulation program is written with MATLAB, it is easy to understand, is very important for understanding montecarlo!)

EEMD是针对EMD方法的不足,提出了一种噪声辅助数据分析方法。EEMD分解原理为:当附加的白噪声均匀分布在整个时频空间时,该时频空间就由滤波器组分割成的不同尺度成分组成。当信号加上均匀分布的白噪声背景时,不同尺度的信号区域将自动映射到与背景白噪声相关的适当尺度上去。当然,每个独立的测试都可能会产生非常嘈杂的结果,这是因为每个附加噪声的成分都包括了信号和附加的白噪声。既然在每个独立的测试中噪声是不同的,当使用足够测试的全体均值时,噪声将会被消除。全体的均值最后将会被认为是真正的结果,唯一持久稳固的部分是信号本身,所 加入的多次测试是为了消除附加的噪声。(The EEMD collection of experience decomposition is improved on the basis of the EMD more given a data processing method!)

实现对离网运行的孤岛微电网的可靠性评估，用的是解析法，能够很好的评估孤岛的可靠性。(Realize the off-grid micro-run island grid reliability evaluation using analytical method, can be a good assessment of the reliability of the island.)

在需要检测的音频中加入白噪声序列来检测音频的特性(Add white noise sequence to be detected in the audio features to detect audio)

计算阶跃折射率光纤传播常数、归一化频率、截止波长、导模数量等( Calculate for Step Index Fibers (using MATLAB): a) Propagation constant (β) b) Normalized propagation constant (b) c) V number (V) d) Check whether the fiber is single mode or multi mode. e) Graph between normalized propagation constant (b) and V number f) Cut off wavelength (λc) g) Number of modes traveling in fiber (Ms) )

Hybrid Particle Swarm Optimation Algorithm. This file is helpful someone who want to optimatize data.

说明：  贝叶斯方法将所有参数看作随机变量，将未知参数的先验信息与观测数据综合，再由贝叶斯定理求算出后验概率分布，进而根据后验分布去推断未知参数。(Bayesian method regards all parameters as random variables, synthesizes the prior information of unknown parameters with observation data, calculates the posterior probability distribution by Bayesian theorem, and infers unknown parameters according to the posterior distribution.)

说明：  有用的matlab源，大家看一下是否有用啦。或许对你有帮助哦。(Matlab useful source, we look at whether it is useful to you. May be helpful to you, oh.)

Signal Conservation of energy and form . Conservacion de energia y forma de una señ al

A simulink model ued for Fourier transformation analysis. It allows the user to select the harmonics number.