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.
本文详细讨论了混合激励线性预测(MELP)的基音周期估计算法及其改进算法。
This paper discusses in detail the pitch detection algorithm of Mixed Excitation Linear Prediction (MELP) and an improved algorithm.
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.
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.
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.
非线性工程结构对地震激励的动力响应的预测具有明显的实际意义。
Prediction of the dynamic response of non-linear engineering structure to earthquake excitation is of obvious practical significance.
应用该模型对线性结构和非线性结构在变阻尼控制和外荷载激励下结构的响应进行了数值仿真，表明所提的动态递归神经网络可以达到较高的预测精度。
Simulations on linear and nonlinear structures demonstrate that RDRNN is very effective on predicting the response of a structure subject to semi-active control and external excitation.
应用该模型对线性结构和非线性结构在变阻尼控制和外荷载激励下结构的响应进行了数值仿真，表明所提的动态递归神经网络可以达到较高的预测精度。
Simulations on linear and nonlinear structures demonstrate that RDRNN is very effective on predicting the response of a structure subject to semi-active control and external excitation.
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