Linear prediction analysis is a basic technique for digital processing of speech signal and the base for the technique of digital processing of speech signal to be implemented in many applications.
线性预测分析技术是对语音信号处理各个领域都具有很高价值的一种基本的语音信号数字处理技术，它是语音信号数字处理技术在很多方面得以实现的基础。
As the result of linear prediction analysis, the prediction residual of noisy speech can be divided into two parts: the speech residual related with speech and the noise residual related with noise.
含噪语音经过线性预测分析后，所得的线性预测残差可分为与语音相关的语音残差部分和与噪声相关的噪声残差部分。
Then, stepwise regression analysis is used to select a best group of factors for the prediction of expressway incident duration, and the multiple linear regression model is established.
在此基础上，通过逐步回归分析确定用于高速公路事件持续时间预测的最佳变量组合并建立多元线性回归模型。
And based on this, a simple method for performance prediction by using linear regression analysis is put forward.
在此基础上提出了应用线性回归分析进行动态预测的简便方法。
Time series analysis based on neural networks theory cross through traditional frame of subjective model draw out prediction on the inner rules of linear time series data.
基于前向型神经网络理论的时间序列分析跳出了传统的建立主观模型的局限，通过时间序列的内在规律作出分析与预测。
Prediction on Hangzhou "s tourist flows is made by the analysis on the linear model of point prediction and interval prediction."
通过线性模型的点预测和区间预测对杭州境外旅游流进行了预测预报。
Prediction on Hangzhou "s tourist flows is made by the analysis on the linear model of point prediction and interval prediction."
通过线性模型的点预测和区间预测对杭州境外旅游流进行了预测预报。
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