预测编码

线性预测编码（LPC）是当今语音分析中最好的方法。

Al present , the linear predictive coding ( LPC ) is the best method for voice analysis .

算法原理是由线性预测编码（LPC）系数转换为倒频谱（CEP）参数；

The algorithm is to transform linear predictive coding ( LPC ) cofficients into parameters of the cepstrum .

实时实现低延迟码激励线性预测编码R等时线延迟。

The Real Time Implementation of LD-CELP Coding ④ Delayed R isochronal lines .

实验结果显示，本文的P帧快速编码算法优化帧内预测编码过程的同时，保证了重建图像的质量。

Experiment proves that P-frame fast coding algorithm optimize the intra prediction coding , at the same time confirm the quality of the reconstructed image .

小波变换和预测编码结合的抗差错SAR图像无损压缩算法

A Lossless Compression Algorithm with Error-resistance Based on the Combination of Wavelet-transform and Prediction Coding for SAR Images

基于遗传搜索算法的码激励线性预测编码及一种非规范RS码的研究

Study of Code-Excited Linear Prediction Based on Genetic Algorithms and a Kind of Irregular RS Code

通过板上集成DSP芯片，采用预测编码和字典压缩等数据压缩技术，降低了系统数据传输量。

Secondly , data transmission becomes less by using forecasting code technology and dictionary compress technology , which are run by DSP on board .

34Mb/s的PAL制电视复合信号预测编码

Composite DPCM Coding of PAL Color TV Signals for 34 Mb / s Transmission

在现有语音编码标准中，混合激励线性预测编码（MixedExcitationLinearPrediction，MELP）是一种比较好的方法。

In the study of speech coding in present , the Mixed Excitation Linear Prediction ( MELP ) is a kind of relatively good method .

线性预测编码（LPC）是语音信号处理的一种强有力的分析技术。

LPC is one of the most powerful technigue in speech signal processing .

线性预测编码（LPC）技术及其在音频文件上的应用

LPC Technique and Its Application in Audio File

将线性预测编码（LPC，LinearPredictiveCoding）技术引入到语音数字水印的分析研究中。

Progresses are summarized as follows : 1 . LPC ( Linear Predictive Coding ) technique is introduced to the research and analysis of speech signals .

该协议将预测编码、DCT变换编码和熵编码相结合实现对视频数据的压缩，并规定了编码器的总体结构和数据格式。

The H.263 protocol integrates the prediction coding DCT transform coding and entropy coding to realize the compression for video data .

提高编码效率的技术有改进的PB帧、先进的帧内预测编码和先进的预测模式等；

Some refined coding methods , including Improved PB frames , Advanced Intra Coding and Advanced Prediction Mode , are used to improve the coding efficiency .

线性预测编码（LPC）语音合成器的设计

Design on LPC Speech Synthesizer

提出了一种利用神经模糊推理系统（ANFIS）构建预测器的图像压缩预测编码算法。

This paper presents a predictive coding model based on adaptive neuro-fuzzy inference system ( ANFIS ) .

一种用于图象传输的非线性DPCM预测编码方案

A Nonlinear DPCM Prediction Coding Approach for Image Transmission

线性预测编码中Levinson-Durbin算法的ASIC实现

ASIC Implementation of Levinson-Durbin Arithmetic in LPC

虽然使用Intra帧为关键帧可以保证较低的编码复杂度，但这种方法也带来了与现行的预测编码相比较低的编码效率。

Although using intra frame as key frame can ensure low coding complexity , this method brings low code efficiency compared to current hybird video coding .

表征语音谱参数的线性预测编码（LPC）参数被广泛用于各种语音编码算法。

Linear predictive coding ( LPC ) parameters are widely used in various speech coding algorithms for representing the spectral envelop information of speech .

通过对LPC（线性预测编码）方法提取语音信号共振峰进行的研究表明，采用相－频特性与对数幅－频特性同样能提取语音信号共振峰。

The study on speech signal formant abstracted by LPC shows that it can also be abstracted by adopting phase-frequency characteristics and logarithmic amplitude-frequency characteristics .

实现了DCT（DiscreteCosineTransform）变换、Huffman编码及RLE编码等，另外还运用了预测编码、运动估计及运动补偿等技术。

The software realizes the Discrete Cosine Transform , Huffman Coding , RLE Coding and so on . In addition , the prediction , Motion Estimation and Motion Compensation are adopted .

本文讨论了改进的多脉冲激励线性预测编码（MPLPC）模型的语音编码方法。

The modified MPLPC speech coding method is provided in this paper .

研究两种合成孔径雷达（SAR）原始数据压缩算法，它们是块自适应树型矢量量化算法和块自适应预测编码算法。

Two raw data compression algorithms are applied to synthetic aperture radar ( SAR ) raw data . The block adaptive tree-structure vector quantization ( BATSVQ ) and the block adaptive predictive quantization ( BAPQ ) are analyzed .

从线性预测编码技术的概念入手，分析和研究了线性预测编码技术及其LPC正则方程的自相关解法。

Based on the concept of linear predication coding , analyzes and researches the linear predication coding technique and the auto-correlation solution of its LPC regularity equations .

729A标准是采用共轭结构代数码激励线性预测编码（CSACELP）算法，其速率为8kbit/s，在语音存储和语音传输领域具有广泛应用，可以用于通信等领域。

It is used for coding speech at 8kbit / s based on conjugate structure algebraic-code-excited linear-prediction ( CS & ACELP ) scheme .

软件的设计是基于共轭结构-代数码激励线性预测编码算法（CS-ACELP）。

The software is based on A speech coding standard named conjugate structure algebraic-code-excited linear-prediction ( CS-ACELP ) .

本文还介绍了语音信号分析方法中的滤波器组分析方法和线性预测编码技术，并推导了LPCC参数和MFCC参数。

The paper discussed the bandpass filters analysis method and the technology of linear prediction code , then reduced the LPCC and the MFCC parameters .

最后，简要介绍了码激励线性预测编码（CELP）的基本原理和CELP在语音信号压缩方面具有的特点和优势。

Last , we simply introduce the basic principle of Code-Excited Linear Prediction ( CELP ) and its special features and advantages on speech signal compression .

最基本的低速率语音编码算法都采用线性预测编码（LPC）技术，LPC-10声码器和MELP声码器都是成功应用LPC技术的典范。

The most basic low-rate speech coding used is linear predictive coding ( LPC ) . LPC-10 and MELP vocoder are typical successful use of LPC .