2000-Hybrid-Powering-System-for-Stand-Alone-Remot

说明：  我们知道，小波变换的一级分解过程是，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程。以下是一维小波分解的程序. (We know that a wavelet transform decomposition process is that the original signal were low-pass, high pass filter, and then carried out under the binary sample, we obtained low-frequency, high-frequency (also known as the average, details) coefficient of two parts and Multi-level decomposition is a decomposition of the previous low-frequency coefficients to be further wavelet decomposition is a recursive process. Following is a one-dimensional wavelet decomposition process.)

DBF一种基础算法：最小均方误差（lms）(DBF algorithm: minimum mean square error (lms))

constancy gui using white patch

EVAL_PDF_COND_MOG Evaluate the pdf of a conditional mixture of Gaussians

可用matlab画污染物浓度时间序列图。(timeseries for pm)

说明：  用matlab程序FDTD算法仿真二维光子晶体TM波(FDTD for 2D photonic crystal TM)

一些滤波器设计的MATLAB源代码，对于学习滤波器非常有用。(Some matlab codes to study filter design and it is helpful to understand filter.)

采用MATLAB实现对天线数据的仿真拟合(Using MATLAB simulation data to achieve the antenna fit)

This model simulate the voltage and current when have harmonic and flicker sources.

关于端点检测的几种方法，语音样本是自己录制的，对传统算法做了一些改进，加入了去噪，去噪之后再进行端点检测，均调通 vad0303：自己设置调整门限为一定值 vad0310：根据能量值和过零率设置门限，自适应门限值 vad0310_2：基于比例因子的门限自调整 vad0310.m加入了噪声，端点检测前都噪声进行了处理 entropy.m：基于自适应子带频谱熵的稳健性语音端点检测 可用于语音增强及端点检测 dbdoor.m：双门限算法，用于语音端点检测。可以通过调整门限值，并加入门限自适应算法，实现语音端点检测(Several methods on endpoint detection, recording their own voice samples, the traditional algorithm has made some improvements, adding a de-noising, and then after de-noising endpoint detection are transferred through)