Gaussian_model

给matlab初学者，一些非常实用的M文件，希望会有所帮助。(Some practical M files for beginners of matlab)

活塞式压缩机级间管道压力脉动matlab小程序(a matlab program to calculate the pressure pulsation of piston compressor interstage pipe)

内有两个MATLAB程序，主要用于语音增强：一个用于向纯净语音文件(wav)添加高斯白噪声，信噪比可选；另一个文件用于测量语音信噪比，对语音增强效果判断(MATLAB, there are two procedures, mainly used for speech enhancement: one for the pure audio files (wav) add white Gaussian noise, SNR optional another document used to measure the voice signal to noise ratio, the effect of speech enhancement judge)

It is a power pwm technique.

A Sparse Signal Reconstruction Perspective for Source Localization With Sensor Arrays Dmitry Malioutov, Student Member, IEEE, Müjdat Ç etin, Member, IEEE, and Alan S. Willsky, Fellow, IEEE

描述了matlab基础功能和基础代码的编写，对信号在时域和频域的特点进行分析，并介绍了几种采样方法(Describe the basic function and matlab code to write, on the characteristics of signal in time domain and frequency domain analysis, and sampling method are introduced)

it s knn implementation by using toolbox matlab

说明：  经验模态分解（Empirical Mode Decomposition，简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破，该方法是依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。(Empirical mode decomposition (EMD) method is considered as a major breakthrough in linear and steady-state spectrum analysis based on Fourier transform since 2000. This method decomposes signals according to the time scale characteristics of the data itself, without setting any basis function in advance. This is essentially different from Fourier decomposition and wavelet decomposition based on prior harmonic basis function and wavelet basis function.)

Wave Player With Effects And Analysis

说明：  CC算法中包括求解海维赛，相空间重构，时间序列分解，计算关联积分等程序。(Included in the CC algorithm for solving Hedwig race, phase space reconstruction, time series decomposition and calculate the associated integral program.)