Description: 这是一个关于Wigner-Ville分布的线性预测算法的程序,大家看看可以作为参考资料研究一下了.-This is one of the Wigner-Ville distribution of the linear prediction algorithm procedures, We can look at the study as a reference. Platform: |
Size: 1539 |
Author:程艳花 |
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Description: iLBC 产生背景
在VoIP的应用中,大部分厂商采用CELP (Code Excited Linear Prediction) 算法的低速率语音编解码,如ITU G.729和G.723.1等。而VoIP应用主要在包交换的IP网络上进行传输,无法避免IP网络的丢包、延时、抖动等实时传输问题,而传统的这几个CELP算法对高丢包的处理不是很好,因而很大程度上会影响语音通话效果。
-iLBC background in the application of VoIP, Most manufacturers to use CELP (Code Excited Linear Prediction) Algorithm low-rate voice codecs, such as G.729 and ITU G.723.1, etc.. And the main application of VoIP in the IP packet-switched network for transmission, could not avoid IP network packet loss, delay, jitter and other real-time transmission, and a few traditional CELP algorithm to handle the high packet loss is not very good, which will largely affect voice calls effect. Platform: |
Size: 68232 |
Author:王刚 |
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Description: 这是一个关于Wigner-Ville分布的线性预测算法的程序,大家看看可以作为参考资料研究一下了.-This is one of the Wigner-Ville distribution of the linear prediction algorithm procedures, We can look at the study as a reference. Platform: |
Size: 1024 |
Author:程艳花 |
Hits:
Description: iLBC 产生背景
在VoIP的应用中,大部分厂商采用CELP (Code Excited Linear Prediction) 算法的低速率语音编解码,如ITU G.729和G.723.1等。而VoIP应用主要在包交换的IP网络上进行传输,无法避免IP网络的丢包、延时、抖动等实时传输问题,而传统的这几个CELP算法对高丢包的处理不是很好,因而很大程度上会影响语音通话效果。
-iLBC background in the application of VoIP, Most manufacturers to use CELP (Code Excited Linear Prediction) Algorithm low-rate voice codecs, such as G.729 and ITU G.723.1, etc.. And the main application of VoIP in the IP packet-switched network for transmission, could not avoid IP network packet loss, delay, jitter and other real-time transmission, and a few traditional CELP algorithm to handle the high packet loss is not very good, which will largely affect voice calls effect. Platform: |
Size: 67584 |
Author:王刚 |
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Description: 这主要是线性预测算法的一些程序,包括最小方差算法!前向预测!后向预测!-This is mainly a linear prediction algorithm for a number of procedures, including minimum variance algorithm! Prior to the prediction! To the prediction! Platform: |
Size: 1024 |
Author:asdf |
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Description: 语音实验
根据durbin算法求线性预测系数
matlab7.0环境运行无误
含有语音文件-Voice experiment according to Durbin algorithm for the linear prediction coefficient matlab7.0 environment containing voice files to run correctly Platform: |
Size: 424960 |
Author:刘琳 |
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Description: 阵列信号处理中一种重要的算法,线性预测算法-An important algorithm, linear prediction algorithm, in array signal processing. Platform: |
Size: 1024 |
Author:绵绵 |
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Description: 语音编码方案的选取对移动通信系统的通话质量、信道容量等有重要影响。本文讨论了TD-SCDMA系统中AMR语音编码的自适应机制,同时分析了AMR中代数码本线性预测(ACELP)算法及实现过程。该方案可以在一块TMS320C5510上实现。-The selection of voice coding schemes for mobile communication systems the quality of the call, such as channel capacity have had a significant impact. In this paper, TD-SCDMA System AMR Adaptive speech coding mechanism, at the same time analysis of AMR in the generation of Digital Linear Prediction (ACELP) algorithm and the realization of the process. The program can be achieved in a TMS320C5510. Platform: |
Size: 38912 |
Author:刘文 |
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Description: 语音信号处理中基音周期的提取算法,用线性预测的基本算法原理,matlab实现。-Speech signal processing in pitch extraction algorithm, the basic algorithm with linear prediction theory, matlab implementation. Platform: |
Size: 2048 |
Author:liujiahui |
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Description: (1)掌握线性预测分析的基本原理。
(2)掌握线性预测误差滤波器参数与语音信号声道模型参数之间的关系。
(3)熟练掌握线性预测分析的自相关方法和Levinson-Durbin递推算法。
(4)熟悉语音信号的LPA谱估计方法-1) master the basic principles of linear predictive analysis.
(2) to master the linear prediction error filter parameters and voice signal channel model parameters of the relationship between.
(3) master the linear predictive analysis of the autocorrelation method and Levinson-Durbin recursive algorithm.
(4) familiar with the speech signal LPA spectrum estimation method Platform: |
Size: 1210368 |
Author:潘多拉 |
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Description: 文件夹包括:经典MUSIC算法、基于波束空间的MUSIC算法、Root-Music算法、前向平滑MUSIC算法、后向平滑MUSIC算法、双向平滑MUSIC算法、奇异值算法、线性预测算法及旋转不变子空间算法等,是学习空间谱估计的很好例程(Folders include: classical MUSIC algorithm, beamspace-based MUSIC algorithm, Root-Music algorithm, forward smoothing MUSIC algorithm, backward smoothing MUSIC algorithm, bidirectional smoothing MUSIC algorithm, singular value algorithm, linear prediction algorithm and rotation invariant subspace algorithm. They are good examples of learning space spectrum estimation.) Platform: |
Size: 14336 |
Author:zhouguoxian |
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