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语音识别的MATLAB代码，包括用于测试的语音，实现了利用HMM(隐含马尔可夫)和DTW(动态规划)两种方法的实现。(ASR use HMM and DTW method include wave files use for test and training.)

关于用matlab求解薛定谔方程的求解探讨问题研究说明(With regard to solving Schrodinger equation using matlab for solving the problems addressed in studies to illustrate the)

依据GSM 05.03建议，在高斯干扰和突发干扰下，对TCH/FS信道作信噪误码性能的仿真(05.03 based on GSM, the Gaussian interference and unexpected interference, right TCH/FS channel for the signal to noise BER simulation)

ISAR成像 包络对齐采用相关法对齐，相位聚焦采用多普勒中心跟踪法 和秩估计法(ISAR imaging envelope alignment using correlation method align phase focusing using the Doppler centroid tracking method and rank estimation method)

预处理的源定位 ------------------------------------- 各种脚本用于处理源定位中使用的时间数据。 Time2Frames.m mutilchannel时间数据转换为频谱帧 Time2TF.m 时间数据转换为相对传递函数的帧到通道1。 Frames2R.m 频谱帧转换为（freqeuncy而定）的协方差矩阵。 R2C.m 转换协方差矩阵噪声子空间（用于音乐）。 Clean_Source.m 从协方差矩阵中删除第n个最强的源极（S）。(Preprocessing for source localization ------------------------------------- Various scripts for processing time data to be used in source localization. Time2Frames.m Converts mutilchannel time data to spectral frames Time2TF.m Converts time data to frames of transfer function relative to channel 1. Frames2R.m Converts spectral frames to (freqeuncy dependent) covariance matrices. R2C.m Converts covariance matrices to noise subspace (for MUSIC). Clean_Source.m Removes the nth strongest source(s) from the covariance matrix.)

快速EMD分解，用了相关距离来解决问题，让算法的运行速度加快(EMD FAST)

说明：  使用PCA算法进行基于数据的故障诊断的程序(Data - based fault diagnosis program using PCA algorithm)

解析wrf数据，并转化为格点数据,并可以定位任意时次的数据(convert wrf data to grid data)

说明：  基于MATLAB的ＯＦＤＭ的系统性能分析(MATLAB-based performance analysis of OFDM system)

这个是matlab下的小波分析在信号处理中的应用的全部代码(Matlab is the wavelet analysis of the signal processing of all code)