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sufficient statistics
相关语句
  充分统计量
    To solve the problem of the detection and estimation of the signal known except for direction in Gaussian noise for passive radar,the sequential implementation for joint detection and estimation is discussed,the sufficient statistics of unknown direction is proposed and the natural conjugate density function class is constiucted,then the algorithm of the sequential joint detection and estimation is developed.
    为解决高斯噪声中方位未知平面波信号的检测及方位估计这一无源雷达信号处理中的重要问题,在讨论联合检测与估计序贯实现的基础上,设计远场平面波信号入射方位(DOA)的充分统计量,构造自然共轭密度函数族,并将其运用到序贯算法中。
短句来源
    The sufficient statistics for modulation classification can be extracted from the detection theory or via the approximated phase/amplitude probability density function.
    通常调制分类可以视为多假设检验问题,假设检验所需的充分统计量可以从检测理论或者从信号幅度(或相位)参数的概率密度函数推导出来。
短句来源
    The paper introduces the sequential algorithm for joint detection and estimation on the basis of sufficient statistics and reproducing probability density function. The new algorithm is used in the case of joint detection and estimation of signal known except for phase in Gaussian noise, which is a classific problem in radar or active sonar.
    在未知参数的充分统计量和再生概率密度函数的基础上,引入了联合检测与估计的序贯算法,给出了算法的实现框图,并将该算法应用于高斯噪声中初相位未知信号的联合检测与估计当中.
短句来源
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  sufficient statistics
Rotation testing handles this problem by conditioning on sufficient statistics.
      
The paper proposes a model based approach to this problem by utilizing the information contained in the sufficient statistics obtained from fitting a model to the public data by conditioning on the survey data.
      
Optimal batch-sequential designs are difficult to compute, even when sufficient statistics and relatively uncomplicated loss functions simplify the calculations required.
      
To accommodate the spatial constraints in this domain, we compute virtual measurements as sufficient statistics to be used in the M-step.
      
We then determine the data summaries (sufficient statistics) for these parameters.
      
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The paper introduces the sequential algorithm for joint detection and estimation on the basis of sufficient statistics and reproducing probability density function. The new algorithm is used in the case of joint detection and estimation of signal known except for phase in Gaussian noise, which is a classific problem in radar or active sonar. The simulation results show that the new algorithm performs better than the traditional ones.

在未知参数的充分统计量和再生概率密度函数的基础上,引入了联合检测与估计的序贯算法,给出了算法的实现框图,并将该算法应用于高斯噪声中初相位未知信号的联合检测与估计当中.仿真实验表明,新算法较传统算法有一定的性能改善.

To solve the problem of the detection and estimation of the signal known except for direction in Gaussian noise for passive radar,the sequential implementation for joint detection and estimation is discussed,the sufficient statistics of unknown direction is proposed and the natural conjugate density function class is constiucted,then the algorithm of the sequential joint detection and estimation is developed.The simulation results show that the new algorithm out performs the traditional one by about 2...

To solve the problem of the detection and estimation of the signal known except for direction in Gaussian noise for passive radar,the sequential implementation for joint detection and estimation is discussed,the sufficient statistics of unknown direction is proposed and the natural conjugate density function class is constiucted,then the algorithm of the sequential joint detection and estimation is developed.The simulation results show that the new algorithm out performs the traditional one by about 2 dB,in which the estimation follows the detection.

为解决高斯噪声中方位未知平面波信号的检测及方位估计这一无源雷达信号处理中的重要问题,在讨论联合检测与估计序贯实现的基础上,设计远场平面波信号入射方位(DOA)的充分统计量,构造自然共轭密度函数族,并将其运用到序贯算法中。仿真实验表明,联合检测与估计序贯算法较传统的检测与估计分离算法在检测性能上有2 dB的改善。

Analyzed sufficient statistic by using it in digital signal processing field.Firstly discussed the theory model about sufficient statistic,and then located attention mostly on the comparison between the estimation using sufficient statistic and the traditional estimation using Bayesian rules.By comparing the method using sufficient statistic to the traditional Bayesian methods of parameter estimation,and got some useful conclusions.By analyzing and making a comparison between the methods...

Analyzed sufficient statistic by using it in digital signal processing field.Firstly discussed the theory model about sufficient statistic,and then located attention mostly on the comparison between the estimation using sufficient statistic and the traditional estimation using Bayesian rules.By comparing the method using sufficient statistic to the traditional Bayesian methods of parameter estimation,and got some useful conclusions.By analyzing and making a comparison between the methods of parameter estimation using sufficient statistic and which using traditional linear model,got a conclusion which are equivalent to each other in some sense.

分析了充分统计量在数字信号处理中的应用,简述了充分统计量的理论模型,重点研究了充分统计量在高斯信道中的应用,结合具体的实例对传统意义下的基于贝叶斯准则的估计和基于充分统计量的估计的性能进行了比较分析;分析比较了基于充分统计量的估计与传统的基于线性模型估计的一致性,全文以具体简洁的实例,针对充分统计量理论用于信号数字参数的估计问题提供了参考。

 
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