srtmreadermatlab

Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.

说明：  对rosenstein求解最大李雅普诺夫指数算法,实现成功(Rosenstein solving of the largest Lyapunov exponent algorithm, to achieve successful)

matlab的一些常见算法的小合集 大概有几十个(Some common algorithms matlab small collection of about dozens of)

K-F域偏移，对于用于常速度偏移处理，程序简单使用。(KF domain migration, migration for constant velocity.The program is simple to use. .)

说明：  路径规划仿真，运用蚁群算法，利用MATLAB软件搭建二维地形环境(Path planning simulation, using ant colony algorithm, using MATLAB software to build two-dimensional terrain environment)

duffing分岔程序，用于求解微分方程的分岔，研究稳定性(duffing bifurcation procedure for solving differential equations of the bifurcation of stability)

or a thorough description of the norms, see the Chapter 4 of Robust and Optimal Control, Zhou, Glover, Doyle 1996. Here the point is to give some lines of code illustrating what are the H2 and Hinf norms of LTI systems. In that sense, it is also illustrated that the H2 norm is smooth in the space of the system parameters, whereas the Hinf norm is non-smooth locally Lipschitz (since it is a min-max problem, thus prone to the waterbed effect ).

matlab实现二维数组的fft变化，得到时域图、幅频域图。(fft change implementation, time domain, frequency domain amplitude, is a two-dimensional array of the FFT changes)

k-means聚类算法在MATLAB的实现(k-means clustering algorithm in MATLAB implementation of)

灰色网络简单的GM(1,1)灰色预测函数，自动返回预测值(Network simple gray GM (1,1) Grey forecasting function, automatic return forecast)