Modified_SPWM

说明：  关于matlab数字图像处理算法的实验原理及其报告(Matlab digital image processing algorithms on the experimental principle and the report)

提取海洋二号卫星高度计的时间、经纬度、目标参数的程序，批处理版。输入时间、经纬度范围。(II satellite program to extract ocean altimeter time, latitude and longitude, target parameters, the batch version. Enter the time, latitude and longitude range.)

描述系统（有输入和无输入），通过系统状态矩阵判断系统稳定性，可控性，可观性(Describe the system (with input and no input), the system state matrix to determine the system stability, controllability, observability)

source code for getting fuzzy membership function for face recognition

说明：  用matlab语言实现的将图像的进行dpcm编码算法，之后进行图像重构，进行前后图像的对比。(With matlab language will be dpcm image coding algorithm, after the image reconstruction, the images before and after contrast. )

基于matlab开发环境，求曲线的峰峰值，以及峰峰值所对应的时刻。(Based on the development environment of matlab, get fengfeng value for the curve, and the moment corresponding to the fengfeng value. moment. )

FACE RECOGNITION BASED ON NONLINEAR PCA In order to obtain the complete source code for FACE RECOGNITION BASED ON NONLINEAR PCA

this mfile is for FSR (F-P) about ringresonator

本程序是经典谱估计方法的程序，仿照＜数字信号处理＞胡广书．包含了书中后面三章的所有方法．另外还有ＦＩＲ，ＩＩＲ数字滤波器的去噪方法，ＳＶＤ特征值去噪，信噪比的计算等等．是一经典的程序组．希望和所有人共享(this procedure is classic method of spectral estimation procedures, modeled on the "Digital Signal Processing" Mr Kwong book. The book contains three chapters behind all the way. Another FIR, IIR digital filter de-noising, SVD eigenvalue denoising, the signal-to-noise ratio calculation, and so on. Is a classic procedure group. All sharing hopes and)

A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only the signature waveform and the timing of the desired user.(A new blind adaptive multiuser detection s cheme based on a hybrid of the Kalman filter and subs pace estimation is proposed. It is shown that th e detector can be expressed as an anchored signa l in the signal subspace and the coefficients ca n be estimated by the Kalman filter using only th e signature waveform and the timing of the desir ed user.)