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predictive filters
相关语句
  预测滤波
     Predictive filters with model error estimations using neural (networks)
     用神经网络估计模型误差的预测滤波算法
短句来源
     The INS nonlinear alignment with a large azimuth misalignment angle using predictive filter is discussed in this paper. In order to deal with the problem that the gyro errors are non-observable, an improved algorithm combining predictive filters and extended Kalman filters is proposed.
     讨论了预测滤波器的基本算法,并针对平台惯性导航系统在大方位失准角情况下的非线性对准中,用预测滤波器无法估计陀螺误差的问题,提出了将预测滤波和扩展卡尔曼滤波相结合的算法。
短句来源
     A new algorithm of predictive filters for time-invariable nonlinear systems is proposed.
     针对时不变非线性系统,提出一种用神经网络进行模型误差估计的预测滤波算法.
短句来源
  预测滤波器
     Design and analysis of analogue predictive filters
     模拟预测滤波器的设计与分析
短句来源
     A Decentralized Structure of Predictive Filters
     预测滤波器的分散化结构
短句来源
     The INS nonlinear alignment with a large azimuth misalignment angle using predictive filter is discussed in this paper. In order to deal with the problem that the gyro errors are non-observable, an improved algorithm combining predictive filters and extended Kalman filters is proposed.
     讨论了预测滤波器的基本算法,并针对平台惯性导航系统在大方位失准角情况下的非线性对准中,用预测滤波器无法估计陀螺误差的问题,提出了将预测滤波和扩展卡尔曼滤波相结合的算法。
短句来源
  “predictive filters”译为未确定词的双语例句
     As other predictive filters, state space is recursively got from measure space with system model by using the Particle Filter.
     这种滤波和其他预测性滤波一样,可以通过模型方程由测量空间递推得到状态空间。
短句来源
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  predictive filters
The signal-to-noise ratio and lateral reflector continuity are both improved by the application of predictive filters whose effectiveness are aided by the repeatability of the Chirp source.
      
When using concepts of predictive filters, a family of parameter estimation techniques, we can obtain better estimates.
      
There are different types of predictive filters, each relying on different assumptions and objectives.
      
There are many applications of predictive filters in different fields and contexts.
      
There are several predictive filters, each appropriate for a different type of uncertainty representation and dynamic modeling.
      
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In digital signal processing, stochastic control and the prediction of electric power load, etc, we arc concerned with the optimal prediction of stationary random signal so In the past time, the Wiener predictive filtering method has been used to solve the optimal prediction of stationary random signals. The solution of Wiener-Hoff equation must be determined, and this is very burdonsome. Recently, the models of stationary random signals have been proposed from the point of View of the time series analysis...

In digital signal processing, stochastic control and the prediction of electric power load, etc, we arc concerned with the optimal prediction of stationary random signal so In the past time, the Wiener predictive filtering method has been used to solve the optimal prediction of stationary random signals. The solution of Wiener-Hoff equation must be determined, and this is very burdonsome. Recently, the models of stationary random signals have been proposed from the point of View of the time series analysis by the mathe-maticians, and the formulae of their pure prediction are obtained. This method is very simple, but does not consider such a case of the filtering pre- diction with the interference of noise. Therefore, in this paper, the equivalent conversions between the autocorrelation functions and power spectra with the stationary signal models are studied; the optimal predictive formulae of the stationary signal models with the interference of white noise have been derived, Thus, we can first convert the autocorrelation functions or power spectra to the models of stationary random signals, then use the formulae of the optimal prediction of stationary random signals with the interference of white noise to solve the Wiener filtering prediction.

平稳随机信号的最优预测应用很广泛。本文研究了自相关函数与功率谱同平稳信号模型的等价转换关系,推导了带白噪声干扰的平稳信号模型的阳优预测公式,从而得出求解维纳预测滤波的一种新方法。

This paper is based on properties of lattice predictive filter, it modifies the error criterion of lattice filter using as ARMA model identification, and puts forward a lattice identification method for ARMA model based on new error criterion. This algorithm structure is simple. Computer identification test shows: this algorithm has better identification performances.

本文根据格型预测滤波器的特点,修改了格型滤波器在用作ARMA模型辨识时的误差标准,提出了建立在新的误差标准下的ARMA模型格型辨识法。本算法结构简单,计算量小。计算机辨识试验表明,此算法具有良好的辨识性能。

The deconvolution technique present in this paper is referred to a modification of the conventional least-square one, which normally begins with the determination of the locations where non-zero reflection coefficients lie. In practice, seismic data are categorized into two types according to which type of points, predictable or unpredictable, they are subordinate to. A predictive filter is then defined to make predicted errors minimun at the predictable points. In this way, the deconvolution process is...

The deconvolution technique present in this paper is referred to a modification of the conventional least-square one, which normally begins with the determination of the locations where non-zero reflection coefficients lie. In practice, seismic data are categorized into two types according to which type of points, predictable or unpredictable, they are subordinate to. A predictive filter is then defined to make predicted errors minimun at the predictable points. In this way, the deconvolution process is completed. This paper pioneers the so-called " Location Deconvolution" by which reflection coefficients are correctly defined once the non-zero reflection coefficient locations are given. An adaptive iterative algorithm is also presented to succcsivcly estimate the predictable and unpredictable points for seismic data so as to determine the locations where non-zero reflection coefficients lie.

本文提出的反褶积方法是对常规最小平方反褶积的一种改进。这种反褶积方法首先要确定非零反射系数点的位置,即将地震信号分成可预测点和不可预测点两类,然后求取预测滤波器,使预测误差在可预测点上达到最小,从而得到反褶积结果。文中首次提出位置反褶积方法,即由已知非零反射系数点的位置,准确求得反射系数数值的方法;并且给出了一种自适应迭代算法来逐步确定可预测点和不可预测点,从而确定非零反射系数点的方法。理论模型试验表明,本方法适用于非白噪的反射系数序列及各种不同相位的子波。实际资料处理的结果表明了本方法的有效

 
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