移动通信线性预测编码论文选读.doc

摘 要 线性预测编码技术简称 LPC技术，在近代电子技术中得到广泛的应用，如窄带通信、语音识别和扬声器鉴定等。它为现代语音信号处理的飞速发展立下了赫赫功劳,在语音分析、合成、编码、识别等方面都有着广泛的应用,至今仍是最有效的语音分析技术之一。线性预测编码作为一种基于全极点模型假定和均方预测误差最小准则下的波形逼近技术，是语音编码中的一种重要技术，运用这种编码方式通过对音频信号的时域和频域分析，线性预测编解码，滤波等处理，能够在尽量保持原音质的基础上合成出高质量的语音。 本文通过对波形编码，参量编码，混合编码，中低速率编码的介绍，重点研究了线性预测（LPC）Levinson-Durbin)算法及MATLAB在处理语音信号时的应用。最后以MATLAB为开发工具，编写了线性预测编码的程序，对语音信号进行了线性预测编码处理，并对阶数的选取做了比较分析。 关键词： 语音信号；LPC；莱文森-杜宾算法；MATLAB仿真 Abstract Technology of linear prediction coding called LPC for short，which application in a wide range of modern electronic technology，such as narrow-band communication, speech recognition and speaker identification.It made illustrious merit for the rapid development of modern speech processing, which has a wide range of applications in speech analysis, synthesis, coding, recognition,and which remains one of the most effective voice analysis technology. LPC all-pole model as based on assumptions and the smallest mean squared prediction error criterion of waveform approximation technique，is an important speech coding techniques.By using this encoding audio signals in time domain and frequency domain analysis, linear prediction coding and decoding, filtering processing, able to keep the original sound quality on the basis of high-quality voice synthesis. In this paper，based on the introduction of the waveform coding，parametric coding, hybrid coding, low rate coding, focuses on the linear prediction (LPC) principle，evinson-Durbin algorithm and MATLAB in the application of speech signal processing. Finally, with MATLAB as the development tool，write a linear predictive coding procedures，oice signal processing of linear predictive coding.,and the number of orders to do a comparative analysis. Keywords：Voice signal；LPC；Levinson - Durbin algorithm；MATLAB simulation 目 录 1 绪论 1 1.1 语音信号线性预测编码技术的基本概念 1 1.2 语音信号线性预测编码技术的发展 2 1.3 语音信号线性预测编码技术的应用 3 1.4 基本设计要求及设计思路 3 2 线性预测编码的基本原理 4 2.1 语音信号的数字模型 4 2.1.1 激励模型 4 2.1.2 辐射模型 5 2.2 线性预测的概念与原理 6 2.2.1 线性预测分析的概