这种自适应信道估计器简单而实用。
数值例了表明了估计器的有效性。
Numerical examples are presented to show the effectiveness of the estimator.
提出了频点自跟踪自适应频率估计器。
Frequency auto-tracking adaptive frequency estimator (FATAFE) is brought forward.
为了提高估计器的精度，采用了过采样技术。
In order to improve the accuracy of the estimator, oversampling technology is adopted.
同时也讨论了一个有关估计器稳定性的性质。
Meanwhile, the stability property of the estimator is also discussed.
估计器是一种广泛应用于信号滤波的稳健性估计器。
M estimation is a kind of robust estimator which is used widely in signal filtering.
在本质上，二次加权的M-估计器就是双向滤波器。
The re-weighted M-estimator is bilateral filtering in natural.
信道估计器部分42使用已知搜索技术辨别信道脉冲响应。
A channel estimator portion 42 USES known searching techniques to discern a channel impulse response.
文中提出了一种基于定子电流矢量定向的转子磁链估计器。
This paper proposes a rotor flux estimator based on stator current vector orientation.
该估计器在适应定子电阻和抑止噪声积累方面优于U—I法。
The estimator outperforms the U-I model on stator resistance adaptation and noise accumulation restraint.
以混合动态系统的外延原理为工具分析了估计器的可压缩性问题。
The extension principle for hybrid dynamic systems is introduced and the contractibility of estimator is analyzed in the framework of extension principle.
然而，传统的磁链估计器的精度会因定子或转子电阻的摄动而降低。
However, the accuracy of traditional flux estimators will be degraded due to perturbations of stator or rotor resistance.
信道估计器通常分为两类：判决反馈估计器和导频符号辅助估计器。
Channel estimators are usually divided into two kind: decision-feedback estimator and pilot-aided estimator.
从接收机复杂度和性能要求出发，导频辅助估计器为较常用的方法。
The latter is in common use while considering the complexity of the receivers and performance of the systems.
提出了一种具有自适应转子电阻估计器的感应电机的逆解耦控制方法。
A novel inverse decoupling control method with the adaptive rotor resistance estimator for induction motor is proposed in this paper.
CMAC估计器先用线性模型进行训练，然后预测目标的质心和姿态。
CMAC estimator is trained with a linear model, then the centroid and attitude are predicted.
给出了网络控制系统在不完全状态信息时系统状态的线性最优估计器；
The optimal estimator of system state for networked control systems without full state information is presented.
模拟结果表明，在小弧长和高噪声的条件下，这种新的估计器性能优良。
Simulation results showed that under conditions of small arc length and high noise, which often occur in practice, the approximate maximum likelihood estimator performs well.
为解决这一问题，已经提出了加权最小绝对值准则、非二次准则等估计器。
To solve the problem, a non-quadratic objective estimator, the weighted least absolute value (WLAV) estimator, and least mean squares (LMS) estimator are proposed.
文中针对秩一相位估计算法存在的缺陷提出了一种改进的相位误差估计器。
By considering the shortcomings of the ROPE algorithm, an improved phase error estimation algorithm is proposed.
该新型估计器不包含定转子电阻，可以避免电阻参数摄动对估计精度的影响。
Therefore, the influences on flux estimation accuracy, caused by resistance parameter perturbations, are avoided.
运动估计器的硬件实现是各种运动补偿视频处理算法在实际系统中运用的关键。
The hardware implementation of the motion estimator is the core of the various motion compensated digital video processings, which will be applied in real systems.
这种估计器利用了接收信号的二阶循环特性，而且不需要信道冲激响应的信息。
The pro-posed estimator exploits the second-order cyclostationarity of received signals and does not require the in formation of impulse response of channel.
本文采用对消息和信道过程进行联合估计的方法，以建立最佳非线性相位估计器。
In this paper, the method to carry out the joint estimation to the message and channel processes is applied so that an optimal nonlinear phase estimator can be built.
提出了一种新的故障跟踪估计器来诊断高压直流输电(HVDC)系统中的故障。
A novel fault tracking approximator for fault diagnosis scheme of high voltage direct current transmission (HVDC) system is proposed.
基于多层核主成分提取估计器需要将调制信号的训练样本根据各自的频率进行分层。
The estimator based on kernel principal component extraction requires to stratify the training samples of interested signals with respect to their respective frequencies.
在随机线性不确定系统中，设计一个满意的状态估计器在工程中有很大的实际意义。
In the Linear stochastic systems with uncertainties, designing a satisfactory State-estimation is of practical significance in the field of engineering.
包括三个模块：模糊等效干扰估计器、神经网络干扰预测器以及模糊呼叫接纳处理器。
The method includes three modules: fuzzy equivalent interference estimator, neural network interference predictor, and fuzzy call admission processor.
在自适应卡尔曼滤波算法的基础上提出了一种带模型偏差的GPS伪码跟踪误差估计器。
Based on the adaptive Kalman filtering algorithm, an estimator for the GPS PN code tracking error with model bias is proposed.
神经网络是一个不依赖于模型的自适应函数估计器，不需要模型就可以实现任意的函数关系。
Neural Network is an estimator of adaptive resonance function, which is not dependent on models, and could fulfill arbitrarily functional relation without them.
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