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.
本文对图象线性预测编码的误码问题进行了系统的分析。
This paper systematically analysis the problem of errors of linear predictive coding.
所以这一章较为详细地讨论了语音信号线性预测编码的基本原理和算法。
So, in this chapter, the basic principle and algorithm of LPC for speech signal have been discussed in detail.
多脉冲激励线性预测编码（MPLPC）方法中，合成滤波器的阶数是固定的。
The order of synthesis filter is fixed in multi-pulse excited linear prediction coding(MPLPC) method.
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.
低速语音编码主要采用参数编码方式，多带混合激励线性预测编码(MELP)是参数编码的主流形式之一。
Parameter coding is the main method of low-rate speech coding and multi-band mixed excitation linear prediction (MELP) coding is one of important parameter coding.
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.
一种基于线性预测和算术编码的高光谱图像压缩方法，希望对您有用。
Based on linear prediction and arithmetic coding of hyperspectral image compression, and I hope useful for you.
在混合激励线性预测低速率语音编码研究中，提出了一种新的归一化自相关函数实时基音检测算法。
In the research of mixed excitation linear prediction speech coding, a new real-time normalized correlation function pitch detection algorithm is proposed.
讨论了一个用于语音编码的频域技术，用以在浊音语音共振峰模型方面改善低阶数线性预测(LP)的性能。
A frequency domain technique is presented to be used in speech coding to improve the performance of low order linear prediction (LP) in modeling of formants of voiced speech.
码激励线性预测（CELP）编码在中低速率上与传统的LPC声码器相比可以提供更加自然的语音质量。
Code-Excited Linear Predictive (CELP) coding can provide natural speech quality at medium and low bit rates in contrast with conventional LPC vocoder.
低时延码激励线性预测(LD - CELP)语音编码能够在较低速率把高质量与低时延结合起来。
The Low-Delay Code-Exited Linear Predictive (LD-CELP) Speech Coder can combine high quality with low delay at quite low bit rates.
它使用线性综合分析预测编码在侦中编译语音或其他音频信号。
It encodes speech or other audio signals in frames using linear predictive analysis-by-synthesis coding.
提出了一种新的基于非线性局部预测模式(NLLP)的信号处理方法，并将其应用于话音编码中。
Presented in this paper is a new signal processing method which is based on a nonlinear local prediction model (NLLP) and applied to speech coding.
本文利用计算机模拟对各种类型的编码方案，包括最佳线性预测器、自适应量化器、帧内自适应预测器以及帧内-帧间自适应预测器进行了比较。
Various coding schemes such as optimum linear predictors, adaptive quantizers, intraframe adaptive predictors, and intra-interframe adaptive predictors are compared by means of computer simulations.
本文利用计算机模拟对各种类型的编码方案，包括最佳线性预测器、自适应量化器、帧内自适应预测器以及帧内-帧间自适应预测器进行了比较。
Various coding schemes such as optimum linear predictors, adaptive quantizers, intraframe adaptive predictors, and intra-interframe adaptive predictors are compared by means of computer simulations.
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