Adaptive linear combiner with harmonic detector is too variable model, according to inverse normalized least square adaptive filter algorithm has better tracking performance, make application to track time-varying harmonic detection.
详细说明：以自适应线性组合器为时变谐波检测器的模型，根据逆归最小乘自适应滤波算法较好的跟踪性能，使之应用于时变谐波的跟踪检测。
First, a traditional observer-based fault detection scheme is analyzed. Then a novel state-observer is designed by using time compensation approach, and the reference model is introduced to formulate the generalized residual. By using H(subscript ∞) control theory, the design of fault detection system based on filter is proposed. The solutions of observer gain matrix and weighting matrix are also given by employing linear matrix inequality approach.
在传统的基于观测器的故障检测系统的基础上，根据时滞补偿的思想设计了一种新型的状态观则器，并引入故障的参考模型，得到广义残差系统；利用H控制理论，提出了基于H滤波器的故障检测方法，并借助线性矩阵不等式方法给出了观测器增益矩阵和后滤波器矩阵的解。
By the modern time series analysis method, based on the autoregressive moving average innovation model and augmented state space model, under the linear minimum variance optimal fusion rule weighted by scalars, a multisensor optimal distributed fusion Wiener filter is proposed for single channel ARIVIA signals with white and colored measurement noises.
应用现代时间序列分析方法，基於自回归滑动平均(autoregressive moving average，ARMA)新息模型和增广的状态空间模型，在线性最小方差按标量加权最优融合规则下，对带白色和有色观测噪声的单通道ARMA信号，提出了多传感器最优分布式融合Wiener滤波器。
The order and time delay of the dynamic model are assumed to be unknown a priori. A time-weighted digital filter is employed to group of linear algebraic equations. The moving horizon least-squares algorithm is then developed to estimate the model parameters in a recursive fashion.
该法应用一时间加权离散滤波器将特定时段内取样的输出入讯号转换成一实数，然后利用不同时段的量测讯号以移动区间递回最小平方演算法来估测模型参数。
Firstly, a model of multi-user MIMO downlink is introduced. A data transmission algorithm is got which can greatly reduce receiver`s calculative cost for multi-user MIMO downlink. And each mobile station receiver needs only one linear filter. Then through simulation and analysis in the TD-SCDMA system, Multi-user JT MIMO demonstrates its superiority and application prosperity.
首先给出了多用户MIMO下行链路模型，在此基础上导出了数据检测算法，每个移动台只需一个线性滤波器来完成数据检测，大大地降低了接收机的计算量，然后就TD-SCDMA系统应用环境进行了仿真和分析，结果说明了多用户MIMO联合发送方案的优越性和良好的应用前景。
The fault detection and isolation (FDI) filter design problem for a linear parameter varying (LPV) model of the longitudinal dynamics of a missile is studied.
研究了导弹竖直平面动力学LPV模型的故障检测和隔离滤波器的设计问题。
The observer-based robust fault detection filter design problem is formulation as an optimization problem by establishing fault observer and selecting reference model. Linear Matrix Inequality techniques are then applied to prove and gel the existence conditions and the solutions.
该方法通过选择合适的参考模型，将系统的鲁棒故障诊断转化为H∞优化问题，并采用线性矩阵不等式方法给出了观测器解的存在条件和求法。
Using of the augmented matrix transformation the fault detection filter model with the long time-delay to the same as the one the short time-delay. The solvable condition of the H ∞ filtering optimization problem and further the solutions are derived by linear matrix inequalities.
利用增广矩阵把长延时的故障检测滤波器模型转换与短延时的故障检测一样的数值结构形式，利用线性矩阵不等式方法，给出H∞滤波器的最优解的存在和求解方法，实现对故障的检测。
The recursive identification of the model parameters, the Kalman filter and the linear quadratic performance index, which is composed of the vertical acceleration of the body and the control signal, are used to implement the stochastic optimal control in an adaptive way.
通过使用模型参数递推辩识，Kalman滤波器和以车身垂直加速度及控制信号构成的二次型指标，实现了汽车半主动悬架的自适应随机最优控制。
Image restoration methods based on PDEs were first derived from Gaussian filter, and then Perona and Malik changed linear diffusion model to non-linear diffusion model with an initiative by introducing the gradient operator to detect edges.
这类方法最早是通过Gaussian滤波引入的线性模型，然后Perona与Malik开创性地引入梯度算了进行边缘判断，将线性扩散模型转化为非线性扩散。
This paper discusses the design method of FIR digital filter under the weighted least squares error criterion. We create a linear system from the model of the filters and design the coefficients of the filters by the identification of system parameters.
讨论了用加权平方误差最小准则设计FIR数字滤波器的方法，由滤波器的模型构造一线性系统，通过辩识系统参数方法来设计滤波器系数。
The two step filter suits a class of nonlinear systems which include a linear dynamic model and a nonlinear measurement model. This filter consists of a Kalman filter and a Gauss Newton iterative algorithm.
两步滤波器由Kalman滤波器和Gauss－Newton迭代算法所构成，它适用于一类由线性动态模型和非线性测量模型所组成的非线性系统。
Based on the UWB discrete time model, various multiuser detection algorithms in UWB systems, i. e., the conventional matched filter multiuser detection, optimum multiuser detection and linear multiuser detection are studied, and their performance is compared by computer simulations.
根据UWB多址系统的离散时间模型，研究了UWB系统的传统多用户检测算法、最优多用户检测算法、线性多用户检测算法，并对它们的性能进行了计算机仿真和比较分析。
Also the improved linear filter was chosen by two comparisons of computation time and accuracy, and prepared one-dimensional forward program of the Cole-Cole model.
又通过计算时间和计算精度两个方面的比较，选择了更适合本论文的改进的数值滤波法，并编写了基于Cole-Cole模型的一维正演程序。
The thermal imaging system can be regard as a linear filter and its static performance model can be established by optical Fourier analytical method.
利用光学傅立叶分析的方法可以把热成像系统看作线性滤波器，并建立热成像系统的静态性能模型。
To solve the question that the realizable linear filter in physics is not considered in the simulation of the Weibull-distributed clutter, firstly, this paper studies the statistic characteristic of the clutter model and the simulation method of ZMNL (zero memory nonlinearity).
针对目前Weibull分布杂波仿真中没有考虑线性滤波器物理可实现性问题，首先深入研究了该杂波模型的统计特性及其ZMNL仿真方法；
Employing the fundamental principle of linear filter model, an improved simulation method is developed based on a high-order filter model for randomly undulatory sea surface.
根据线性滤波器模型的基本原理，提出了一种改进的基于高阶滤波器的随机起伏海面仿真方法。
This paper studies the combined method and the application of extended non-linear Kalman filter algorithm on dead-reckoning/Loran C (GPS) integrated navigation system. It deduces seven-rank mathematic model and mechanization of ship movement in detail.
该文研究了推算船位／罗兰C（GPS）组合导航系统的组合模式和推广的非线性卡尔曼滤波算法在该组合模式中的应用，详细推导了舰船运动的七状态数学模型及其机械编排。
The method respectively use the optimal state estimation algorithm of Kalman Filter (KF) and Least Mean Square (LMS) to estimate the signal in linear part to refresh the parameters of the model.
在此基础上分别结合卡尔曼滤波算法和最小均方差算法进行线性部分的信号估计，其中卡尔曼滤波和最小均方差算法都是最优状态估计方法，用于在线更新预测模型的参数。
To discrete-linear systems with stained observe noises, based on the ARMA innovation model, using modern time-series analysis method, a new decouple Wiener trace filter method are presented.
运用时间序列分析法对正常和故障情况下导航系统中方位保持部件陀螺仪输出随机漂移信号进行分析，得到一种判断陀螺仪性能故障的方法。