实现LMS的matlab程序demo, 实现LMS的matlab程序demo

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.

这是一个窗函数分帧函数，它在melcepst这个函数中被调用。（当然也可以用在平常的分帧）-This is a window function and sub-frame function, it melcepst this function is called. (Of course, can also be used in the usual sub-frames)

基于g.723.1的音频压缩程序，ITU的源码-The voice compress program file which base on G.723.1 is own to the original source code from ITU.

写mp3文件格式的matlab 源程序-Mp3 file format to write the matlab source code

这是一个可以实现实时录音并播放的QT程序，录音的同时播放已经录制的声音，包含mainwindow.h，mainwindow.cpp和main.cpp三个文件

一个基于ITU-R recommendation BS.1387的客观语音质量评价算法源码。-Based on ITU-R recommendation BS.1387 objective voice quality assessment algorithm source.

DSK5402的bootloader程序.本人调试过,绝对正确-DSK5402 the bootloader program. I debug, and absolutely correct

这是一个关于音频编码的c程序 mp3第三层的-This is a study on the c program audio coding mp3 third layer

OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Danı ş man : Yrd. Doç . Dr. H. Gö khan İ LK Bu ç alı ş mada, SMM (Saklı Markov Model) tabanlı izole bir kelime tanı ma sistemi geliş tirilerek, sesin akustik parametreleri LPC (Linear Predictive Coding), LPCC (LPC Cepstrum), CEPS (Ayrı k Fourier dö nüş ümü tabanlı cepstrum) ve MFCC (Mel Frequency Cepstral Coefficients) ‘nin konuş macı dan bağ ı msı z konuş ma tanı ma sistemlerindeki performansları değ erlendirilmiş tir. Değ iş ik akustik parametrelerle birlikte değ iş ik S-OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Dan&

Android开发的语音识别系统,本设计利用Android平台使用PocketSphinx做离线语音识别，小范围语音99%识别率，非常适合做语音识别开发的人用，具有一定参考价值