辅助变量

SplitBregman算法通过引入辅助变量将变分问题转化为简单的Poisson方程和精确的软阈值公式实现的。

And The Split Bregman method is implemented by introducing auxiliary variables which transform the relaxed convex variational model into solving simple Poisson equations and exact soft thresholding formulation .

本文通过数据校正技术对模型训练前的数据进行处理，消除工程数据存在的误差，并采用主元分析方法（PCA）消除辅助变量之间的相关性。

This article through data correction technology of model training data are processed , eliminate engineering data errors , and the use of principal component analysis method ( PCA ) for the auxiliary variable elimination assisted the correlation between variables .

FPGA在算法设计中，引入四个辅助变量，降低了复杂逻辑判断过程。

The complexity of logical judgments is simplified by introducing four assistant variables in arithmetic design of FPGA .

辅助变量法在ARMA（p，q）模型参数估计中的应用

The application of instrumental variable method in the estimation of parameters of arma ( p , q ) model

ARMA模型的超定递推辅助变量定阶方法

A overdetermined recursive instrumental variable method for ARMA model order estimation

采用辅助变量辨识方法辨识得到单输入单输出差分方程和Z传递函数。

Through instrumental variable identification method , the single input single output difference equations and the Z transfer function were gotten .

精选-优化辅助变量法及其仿真研究基于OIVPM的特征值确定ARMA模型的结构

ARMA model order determination based on the eigenvalues of the overdetermined instrumental variable produce moment

采用电主轴定子电压、定子电流、空载电流和主轴转速作为辅助变量，建立了基于BP神经网络的负载扭矩软测量模型。

The soft-sensing model based on BP neural network is built up , using the spindle 's stator-voltage , stator-current , no load current and spindle speed as secondary variables .

考虑到噪声的未知特性，用辅助变量法（IV）对实测的负荷数据进行参数估计。

Based on analyzing the characteristics of the noise , an IV ( Instrumental Variable ) method is developed for identifying load parameters of difference equation models .

SIMO系统辅助变量最小二乘盲辨识方法

Instrumental variable least squares blind identification for SIMO systems

FDTD数值计算要采用增加辅助变量和相应的辅助差分方程的方法使FDTD迭代计算稳定。

In order to get FDTD iterative computation stable , FDTD numerical method should increase the subsidiary variable and the corresponding auxiliary difference equation .

首先从工艺机理分析出发，找出影响结焦含量的主要参数，初步确定软测量建模辅助变量，并采用BP算法进行神经网络训练，建立结焦含量软测量模型。

At first according to the analysis of technics principles several major parameters affecting coking are found out and used as assitant variables . BP algorithm is used for training neural networks to establish coking model .

应用离散Karhunen-Loeve法选择丙烯浓度的辅助变量

Selection of Secondary Variable for Propylene Concentration Using Discrete Karhunen Loeve Expansion

首先结合工艺机理分析，找出影响辛烷值的主要参数，确定为辅助变量，建立起基于BP神经网络的辛烷值软测量模型。

At first according to the analysis of technics principles several major parameters affecting RON are found out and used as assistant variables . Then a model of measuring RON is established by use of neural networks with BP algorithm .

本文介绍了参数辨识中辅助变量法的基本原理以及Matlab系统辨识工具箱中参数辨识主要功能函数，并通过实例分析该工具箱在参数辨识、系统仿真中的应用。

This paper introduces the basic principle of supplementary variable in parameter identification and the main function of parameter identification in Matlab system identification toolbox and analyse the application of the toolbox in parameter identification and system emulate by means of example .

首先通过工艺机理分析和生产装置实际运行经验，确定了HAC含量估值模型的辅助变量。

First , the mechanism through process analysis and production facilities practical operating experience to determine the HAC content of soft-sensor model of the instrumental variable .

基于归一化的均方误差（mse），引入了一个辅助变量，导出了时变限幅函数，加速了收敛并且得到了更小的均方误差。

Based on the normalized mean square error , an instrumental variable is derived for yielding a variable clipping function to provide fast convergence and small mean square error .

基于改进GA-PLS算法的最优辅助变量选择及其在软测量建模中的应用

Optimal Selection of Secondary Variables Based on GA-PLS Algorithm and Its Application to Soft Sensor Modeling

与辅助变量（IV）法相比较，本文方法具有保证估计谱正性和能在线识别MA部分参数的优点。

The important features our algorithm owns , in comparison to the instrumental variable method , are that the positivity of estimated spectra can be guaranteed and the estimated parameters of MA part of the observed ARMA sequence can be on-line estimated simultaneously .

LPC在非基音同步情况下是一种有偏估计算法，用于共振峰参数估计时误差较大。辅助变量法消除估计偏倚的验证

LPC gives biased estimation when analysis is pitch-asynchronous , so that the errors of formant parameter estimation of LPC are large . Modification of Biased Estimation for Static Single Bearings-only Observer by Instrumental Variables

我国农产量调查采用的是对称等距抽样设计，它实际上可理解为是一种变形的PPS系统抽样设计，使用的是以播种面积作为辅助变量。

The symmetric and systematic design has been adopted in China Crops Survey , and it is a kind of ( systematic ) PPS sampling design with auxiliary variable , area of crops planted . system ) .

最终系统具有精度高、可便携、测速快等特点，可以方便地测量电阻、电容、电感的值及相关辅助变量如相角θ、损耗因子D、品质因数Q等。

Final system with high precision , portable , fast speed , etc , you can easily measure the value of the resistor , capacitor , inductor and related auxiliary variables such as the phase Angle theta and loss factor D , quality factor Q , etc.

提出并初步实现了一种利用多个火花塞离子电流特征参数作为辅助变量，基于BP神经网络的λSS测量火花塞局部混合气浓度的新方法。

A new method for detecting the local air-fuel ratio in spark plug gap , λ SS , is proposed and realized , that is based on a BP neural network as soft sensing model and some characteristic parameters of spark ion current as second variables .

文中用辅助变量法和LILC定阶准则结合来估计电液位置和力偶系统的阶和参数，根据估计参数的渐近正态性确定模型的子阶和时滞。

The instrumental variable method and LILC criterion are used to estimate the order and parameter of electro-hydraulic position and force coupled system .

与Ramadan利用Z变换方法实现APML的算法相比，本文提出的APML新算法需要的辅助变量和计算步骤少，从而节约了内存和计算时间。

As compared with the Z-transform-based APML algorithms by Ramadan , the main advantage is that the proposed algorithms require less auxiliary variables and computational steps so that their implementations save both memory and computational time . 3 .

文章给出了几种可行的PPS系统抽样设计，辅助变量分别取为农户数、播种面积、耕地面积、切块数，并对这几种抽样设计进行了应用分析。

This paper presents several ( feasible ) systematic PPS sampling designs , with household , area of crops planted , area of cultivated land and number of segment are chosen as auxiliary variables . Some discussion for the application of these sampling ( designs ) are also presented .

该文通过引入辅助变量和辅助方程，得到一个求解潮流方程的Moore-Spence扩展系统的矩阵降阶新算法。

By introducing an auxiliary variable and an auxiliary equation to form an extended Moore-Spence system , this paper derives an efficient matrix reduction technique .

闭环系统辨识的辅助变量法

Instrument Variable Method for the Identification of System Operating in Closed-Loop

确定线性多变量系统结构参数的递推辅助变量算法

Recursive Instrumental Variable Method for Structural Identification of A Multivariable System

非凸大系统优化的辅助变量法

Optimization of the Nonconvex Large Scale System by Introducing Instrument Variables