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G.723语音编码介绍及优化 语音编码分成波形编码、参数编码和混合编码.波形编码就是语音信号形成的波形进行处理和加工，参数编码是以语音信号产生的数字模型为基础，求出其模型参数，然后按照这些参数还原数字模型，合成语音。混合编码是综合了波形编码和参数编码的长处，在4－16kbps的速率上进行高质量的语音合成。例如多脉冲激励线性预测编码(MPLPC),码本激励线性预测编码(CELP)都是混合编码。-G.723 speech coding and optimization of voice introd
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CELP
The most common Speech coding scheme is Code-Excited Linear Predictive (CELP) coding, which is used for example in the GSM standard. In CELP, the modelling is divided in two stages, a linear predictive stage that models the spectral envelope a
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This function synthesizes a (speech) signal based on a LPC (linear-
％ predictive coding) model of the signal. -This function synthesizes a (speech) sign al based on a LPC (linear-% predictive coding) m odel of the signal.
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This function synthesizes a (speech) signal based on a LPC (linear-
％ predictive coding) model of the signal.-This function synthesizes a (speech) signal based on a LPC (linear- predictive coding) model of the signal.
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单输入单输出模型预测控制算法实现--一般实现，逆响应和线性规划-SISO model predictive control- a general approach, inverse response and linear programming
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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 kh
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Levison-Durbin 语音信号处理中的线性预测编码LPC 理论、格型滤波器以及求解现行预
测方程的算法，可以实现对语音信号重要元素的分析、合成甚至识别。
基于现有的实验平台，我们可以利用 Matlab 函数来获得几个固定语音元素（如元音）
的模型系数，LPC 得到的系数组成 IIR 滤波器。利用冲击脉冲
序列作为输入，我们就可以得到原来的语音。这是一种简单的语音合成功能。-Levison-Durbin speech signal processing in li
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Developing Models from Experimental Data using System Identification Toolbox-1. webinar_walk_through.m: contains all the linear and nonlinear estimation examples presented during the webinar.
2. Data files and Simulink models: process_data.mat,
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for linear induction motor drive using model predictive control
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介绍线性预测编码(LPC)及其基本原理，由语音信号常用的全极点模型的传递函数推导出线性预测方程，-Introduction of linear predictive coding (LPC) and the basic principles of commonly used by the speech signal transfer function of all-pole model of a linear prediction equation is derived,
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Chapter 2 Low Bit-Rate Speech Coding
In this chapter an overview is given of speech coding techniques at several bit rates. Most
of them use Linear Prediction. This overview is not meant to be complete its purpose is
to make the reader somewhat
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matlab语音信号处理工具箱
本工具箱可配合语音数据库使用，用于计算线性预测语音模型的参数，语音声调转换，语音自动解析分解，语音语速变换及更改发音的重音，音量，清晰度等。配套图书《Speech Processing and Synthesis Toolboxes》已经出版，翻译进行中-matlab signal processing toolbox with the voice of the Toolbox database can be used for calculating line
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将原语音文件进行分析解码，用全极点模型，通过线性系统预测进行声音的合成和编码。-Original voice file for analysis by linear system predictive decoding, with the all-pole model, the sound synthesis and coding.
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Model Predictive Control based on linear models is widely used in the process Industry.
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linear model predictive control for dimx=5
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（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 voic
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采用线性预测分析不仅能够得到语音信号的预测波形，而且能够提供一个非常好的声道模型(The linear predictive analysis can not only predict the waveform of the speech signal, but also provide a very good vocal tract model)
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对线性时变模型和非线性模型的预测控制算法进行了仿真分析，设计了两种模型下的模型预测控制的实现(Simulation analysis of linear time-varying model and nonlinear model predictive control algorithm)
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为减少道路突发事故，提高车辆通行效率，需要研究车辆的紧急避障以实现自主驾驶。
基于车辆点质量模型，设计了非线性模型预测控制( MPC) 路径规划器; 基于车辆动力学模型，设计了线性时变MPC 轨迹跟踪器。(Emergency obstacle avoidance is one of the key points for autonomous driving system. A path planning controller based on non-linear model predicti
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