特征分析对于声音信号的处理非常有用，希望这个能对大家有用...

语音识别中的MFCC参数提取的java源码和FFT的java源码-Speech Recognition MFCC parameter extraction of the java source and FFT of the java source code

隐马尔科夫模型的建立，该模型可广泛应用于语音识别、对象定位、多序列比对中。-Hidden Markov model, the model can be widely used in speech recognition, object positioning, multiple sequence alignment of.

aa3qw压缩算法1234567890 -aa3qw compression algorithm 1234567890 1234567890

看的一篇参考文献上的S变换源程序，发上来给大家参考参考-See a reference to the literature of the S transform source code, hair up to your information

语音信号分离的Fastica算法。一种典型的时域算法

对HMM基础知识的了解很有帮助，有发展历史，应用等-The basis of HMM knowledge helpful, there are the history of the development, application, etc.

audio/celp

本文分析了用经验模态分解( Empirical Mode Decomposition ,EMD) 方法处理非平稳噪声信号的基本原理 , 并利用 EMD 方法有效地消除了高斯白噪声对瞬态散射回波的干扰. 文中以一人工合成瞬态回波为例 ,对本方法的有 效性作了检验.-This paper analyzes the use of empirical mode decomposition (Empirical Mode Decomposition, EMD) method to deal with non-stationary noise signals in the basic principles and methods of use of EMD effectively eliminates the Gaussian white noise on the transient scattering echo interference. Text in one artificial Synthesis of transient echoes as an example of the effectiveness of this method were tested.

ICA（主分量分析）算法和程序，是由Matlab模拟仿真而编写成的，非常不错。-ICA (PCA) algorithm and procedures are prepared by the Matlab simulation, into, very good.

AppWizard has created this SRTest application for you.  This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your SRTest application. SRTest.dsp     This file (the project file) contains information at the project level and     is used to build a single project or subproject. Other users can share the