PSO

基于MATLAB的语音识别MFCC特征提取算法(MATLAB-based speech recognition MFCC feature extraction algorithm)

说明：  OFDM仿真程序，信道估计采用LS,MMSE,LMMSE,DCT等方法，做了个比较，ofdm那个是主程序(OFDM simulation program, channel estimation using LS, MMSE, LMMSE, DCT and other methods, made a comparison, OFDM that is the main program)

说明：  ofdm的时域仿真代码，matlab下正常。(ofdm s time domain simulation code with matlab,it s works well.)

说明：  产生高斯白噪声，使用matlab编辑及仿真，均值为零(have a Gaussian white noise, editing and the use of Matlab simulation, mean zero)

Image Denoising using sparse transformation.

matlab实用程序百例，新手上手必背，让你快速掌握matlab的使用，推荐！(matlab utility 100 cases, should ? novice get started, let you quickly master the use of matlab, recommended!)

Simple dynamic ode model describes a nutirition food web in a lake.

ofdm channel using and measure of PSNR

用来建立第一性原理计算的用的坐标程序，程序还稍有问题需要调试。(Used to create the first-principles calculation of the coordinates program, the program is also a slight problem needs to be debugged.)

介绍了 Cohen类双线性时频分布并针对交叉干扰项影响无法完全消除的问题进行了重排时频变换以提取及分辨 含有白噪声和窄带周期干扰的局部放电信号。处理仿真和现场检测到的局部放电超声信号时根据白噪声和窄带 周期干扰信号在时域上的平稳性特性发现重排 Cohen类时频变换方法不仅可以很好地将局放信号和背景噪声以 及窄带周期干扰信号分辨开来,而且大大减弱并抑制了交叉干扰项的影响,保持了更高的时频分辨率和时频聚集 性,从而验证了重排 Cohen类时频变换方法的有效性。 (In order to express the partial discharge ( PD) information of gas insulated switchgear ( GIS) in time-frequency domain, weintroduced theCohen? s class bilinear time-frequency distribution and its reassigned time-frequency transform method to pick up and distinguish theultrasonic signals in field from the whitenoises and narrow band periodic interference signals using the acousticemission ( AE) technology. After the processing of the simulated and PD ultrasonic signals in field, and according to the stationary feature of white noises and narrow band interference signals, wedraw a conclusion that the reassigned time-frequency distribution method can not only distinguish thePD signal from back ground noises and narrow band interference signals, but also decrease and restrain the influenceof cross-items, and acquire better time )