HMMtoolbox

matlab的一些最基本的应用(Matlab some of the most basic )

基于非下采样小波变换的纹理图像特征提取程序(The sampling based on the wavelet transform of texture image feature extraction )

arma模型，很不错的M文件，有助于学习提高(arma model, very good M-file help learning to improve)

小波包分析提取振动信号中的特征频率，主要为数据分析和统计，DSmT证据推理的组合公式计算函数。( Wavelet packet analysis to extract vibration signal characteristic frequency, Mainly for data analysis and statistics, Combination formula DSmT evidence reasoning calculation function.)

在matlab中，rbf模糊神经网络的程序(In matlab, rbf neural network program)

合成孔径雷达影像滤波程序，用matlab编写，在去除图像中的斑点（乘性噪声）方面有一定的作用。(Synthetic aperture radar image filtering process, using matlab prepared to remove the image spots (multiplicative noise) has a certain role.)

提取音频的mfcc特征值 是一个matlab函数 直接调用即可(Extract audio mfcc characteristic value is a matlab function can be called directly)

Hidden Markov Model (HMM) Toolbox written by Kevin Murphy A problem of fundamental interest is characterizing such real-world signals in terms of signal models. HMM is referred to as Markov sources or probabilistic functions of Markov chains in the communications literature.

在matlab的小波分析中标,设计一个包含若干不连续点的一维信号，利用小波变换的模极大提取它的阶梯型边界点。(Matlab wavelet analysis in the successful design that contains a number of discrete points of one-dimensional signals, using wavelet transform modulus maxima extraction of its ladder-type boundary points.)

用hilbert算法对信号的包络线进行提取，既有单一包络线，也有原始信号与包络线的图像。(Algorithm using hilbert envelope signal extraction, both single envelope, there are images of the original signal and the envelope.)