OPF-MATLAB-

This code is about Digital Signal Processing.

说明：  EMD算法的matlab代码，非常详细，每一步都有解释(Matlab code of EMD algorithm)

1、利用自相关法找出含有大量数据的周期信号的周期 2、利用互相关对齐含有大量数据的多路采样信号以便分析 3、使用分段平滑经过求导后的含有干扰的图像曲线(1, using the autocorrelation method contains large amounts of data to identify the period of the periodic signal 2, using the cross-correlation contains a large amount of data aligned with the sampling signal for the multiplexed analysis, the use of segmented through derivative after smoothing with interference by the image curve)

使用有lsb算法实现语音信号的数字水印，有详细的程序注释和音频信号(Lsb algorithm using voice signal digital watermarking, detailed program notes and audio signals)

常用的MATLAB图像压缩编码，通过matlab实现，其中包含了DM编码、变换编码（FFT和DCT）、算术编码、行程编码、JZOTch编码、线性预测编码和一个近似的NHzjZsp编码过程。本人通过MATLAB编码效率很高。 (Commonly used MATLAB image compression coding, through matlab implementation, which includes the DM coding, transform coding (FFT and DCT), arithmetic coding, run length coding, JZOTch coding, linear predictive coding and an approximate NHzjZsp encoding process. I have a high coding efficiency by MATLAB. )

Image Compression using DCT

matlab百例，一百个matlab绘图相关程序，有助于掌握Matlab绘图技巧。(matlab hundred cases, a hundred matlab drawing procedures to help master the skills of Matlab graphics.)

利用matlab进行主成分分析，得到各个相关系数等(Principal component analysis using matlab to get the various correlation coefficients, etc.)

circle-meshgeneration-FEM-electromagnetic from kntu

Extended Kalman Filter Tracking Object in 3-D(Assume that we want to track an object moving in 3-D space with constant velocity. Our instruments observe bearing, range and high(cylindrical coordinates). However, of an interest are rectangular coordinates. Since transformation is non-linear this requires use of extended Kalman filter. Because transformation is non-linear between X,Y and Range,Bearing and linear between Z and high(Z is height), this problems serves as a good comparason of how well extended Kalman filter can perform. By comparing its linear estimation error in Z to non-linear estimations in X and Y, we can judge how non-familiarities effect estimation. )