FAST-AUTOCORELATION

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：  AWGN信道下高斯噪声干扰下GALILEO编码译码系统性能仿真，包括误码率仿真(AWGN channel Gaussian noise interference GALILEO codec simulation system performance, including bit error rate simulation)

PPT，关于matlab实现著名的希尔伯特黄变换算法，介绍了HHT算法的基础知识(HHT basic information in matlab)

这是基于matlab的数字信号处理的实验。里面有详细的要求和程序解答，适合初学者。(This is based on digital signal processing matlab experiments. There are detailed requirements and procedures to answer, for beginners.)

本程序主要是应用模糊推理进行分类，实验后处理效果明显(This procedure is mainly classified fuzzy reasoning)

利用matlab对随机过程课程的仿真 1、利用matlab绘制随机过程的谱密度G_x (ω)=2αβ/(β^2+ω^2 ) (α、β为正数)的图像。 2、绘制白噪声的功率谱密度函数G_x (ω)=N/2和自相关函数R_N (τ)=N/2 δ(τ)的图像。 3、分析低通白噪声和带通白噪声的功率谱密度函数和自相关函数的性质并举例同时绘制其图像。 (1, drawn using a random process matlab spectral density G_x (ω) = 2αβ/(β ^ 2+ ω ^ 2) (α, β positive) image. 2 for the white noise power spectral density function G_x (ω) = N/2 and the autocorrelation function R_N (τ) = N/2 δ (τ) of the image. 3, the analysis of low-pass white noise and band-pass white noise power spectral density function and autocorrelation function of the nature and the examples at the same time to draw its graphics.)

Ecg beat detection in matlab

基于matlab指纹匹配源代码，特征识别，特征匹配 (Fingerprint matching based on matlab source code, feature recognition and feature matching)

just this is for k-means algorithm coedes in matlab,it for beginners

MATLAB控制系统设计，包含控制系统的数学描述，时频分析及根轨迹绘制(MATLAB Contron System Design)