将梅尔倒谱参数和线性预测参数结合起来作为语音识别的特征提取参数。
The MFCC coefficients and LPCC coefficients are combined as the speech recognition feature extraction parameters.
TISI使用长时间平均谱的变形参数及正交线性预测参数作为讲话人的语音特征矢量；
In TISI, Long-Term Average Spectrum and Orthogonal Linear Prediction Coefficients are used as the feature parameters;
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
由发动机性能的设计技术参数，运用模糊线性回归理论建立了发动机经济性指标的模糊预测模型，并对其经济性指标进行预测和分析。
Based on the technical parameters for the performance of engines, the economical index of engines is predicted and analyzed by the theory of fuzzy linear regression.
针对其存在非线性、参数时变和大延迟等难以控制的特性，提出基于T - S模糊模型的预测函数控制新方法。
As the nonlinearity, time-varying parameters and large lag make the control difficult, a predictive functional control method based on T-S (Takagi-Sugeno) fuzzy model is presented.
运用非线性理论预测储层参数，真实描述地下油藏的复杂状况，并通过仿真模拟得到储层剩余油示意图。
In this paper non-linear theory is applied to predict reservoir parameter and the complicated condition is described. Furthermore, the pictures of residual oil are simulated.
对多信道模型的输出应用线性预测，证明了预测误差只包含多信道模型冲激响应在第一个时隙的参数，并给出最佳线性预测器的长度。
A linear prediction approach is applied to the output of this SIMO model and we prove that the prediction error contains the parameters of the first time slot of the model impulse response.
研究目的是建立机构复杂非线性运动参数的动态预测模型。
The aim of the study is to setup dynamical prediction model of complicated mechanism nonlinear motive parameters.
在成因分析的基础上，建立了大气污染物浓度预测的参数化组合算子模型，适应非线性问题。
Based on the analysis of contributing factors, a model of parameterized combination operator in air pollution forecasting is presented, which is suitable to nonlinear problems.
同时，神经网络所具有的非线性变换特性和高度的并行运算能力使得其适合建立非线性预测模型进行参数预测。
At the same time, the nonlinear mapping property and high parallel process ability of ANN make it suitable to be applied to establish nonlinear prediction model to perform parameter prediction.
LSP参数可以通过求解一个与线性预测系数(LPC)相关的非线性N阶方程得到。
LSP parameters can be obtained by solving an N-order non-linear equation relating to the linear predictive coding (LPC) coefficients.
对多元线性回归模型参数的预测，转化为对其变量集合的增广矩阵的叉积阵的预测。
Prediction to the regression parameters was converted to predict cross product matrix of the variable augmented matrix.
仿真结果表明了该线性时变模型和参数估计算法的可行性，表明该自适应预测控制方法具有优良的控制品质。
Simulation results demonstrate the feasibility of the model and the parameter estimation algorithm, and show that the adaptive predictive control method has excellent control quality.
布朗单一参数四次指数平滑能更好地跟踪时序的非线性变化趋势，达到更好的短期预测效果。
Quartic exponential smoothing method can follow the nonlinear trend of time series better and can also forecast better.
非线性检测包括构成散点图、计算散点图量化指标(PLO)以及复杂度(COM)、预测度(PRE)、李雅普·诺夫指数(LI)、相关维(cd)等参数。
The parameters derived from the non liner test were index of Poincare graphics (PLO), complexity (com), prediction (pre), index of Lyapounov (li), and correlation dimension (CD).
本文基于线性预测技术(LPC)，对语音信号的共振峰参数估值，实现语音合成。
This article provides a method of realizing speech synthesis based on LPC, by using resonance peak parameter estimation.
基于混沌动力系统的相空间延迟坐标重构，利用混沌序列固有的确定性和非线性，提出了用于混沌时间序列预测的一种少参数非线性自适应滤波预测模型。
Based on the deterministic and nonlinear characterization of the chaotic signals, a new reduced parameter nonlinear adaptive filter is proposed to make adaptive predictions of chaotic time series.
其中，声道参数的转换是获得高质量重建语音的关键，所以选择声道共振峰参数作为待转换的特征参数，利用线性预测求根法提取共振峰参数。
The vocal-tract mapping algorithm is the key part, so formant parameters which are estimated by the root-finding method based on LP analysis, are chosen for the transformation parameters.
为了提高液压伺服系统的控制精度，文章对液压伺服系统中的一些非线性参数进行了预测与估计。
In order to increase hydraulic servo's control precision, the article forecasts and estimates hydraulic servo's some misalignment parameter.
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.
将基于紧格式线性化的非参数模型直接自适应预测控制方法应用到直线电机速度和位置控制中。
The forming process is simplified to a discrete single input single output system and described by a non-parametric model.
由此进一步推导可得到数字信号序列参数线性预测的自适应算法。
Then an adaptive parallel processing algorithm for digital signal linear prediction can be given.
由此进一步推导可得到数字信号序列参数线性预测的自适应算法。
Then an adaptive parallel processing algorithm for digital signal linear prediction can be given.
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