TFTB

Feature display code for speech recognition.

Matlab code for plotting histogram of red green and blue components of any image

分步傅里叶变换法求解非线性薛定谔方程，根据G.P.Agrawal的《非线性光纤光学原理》(Step Fourier transform method for solving nonlinear Schrodinger equation, according to GPAgrawal of " nonlinear fiber optics." )

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：  完整的ofdm仿真程序，在matlab上实现(Complete OFDM simulation program in matlab to achieve)

该算法是通过统计图像信息熵大小来评价的图像的清晰度。清晰的图像的熵大于模糊图像的熵。(The algorithm is the image through the statistical entropy to evaluate the size of the image definition. Clear image of the entropy of fuzzy image entropy.)

直接扩频捕获Xfast算法仿真(包含可调SNR信息码产生)(dsss acquisition(XFAST))

归一化自适应算法，是正弦信号的不是语音信号的！欢迎下载使用！(Normalized adaptive algorithm, is not sinusoidal signal of speech signals! Welcome to download! )

Neural fuzzy approximator construction basics

采用轮廓跟踪法，得到两条曲线的坐标集，再通过求质心确定两个基准点 (This function is used to get two basis points between fingers )