SEMIANALYTICAL SATELLITE THEORY AND SEQUENTIAL ESTIMATION by
نویسندگان
چکیده
منابع مشابه
Noise Compensation by a Sequential Kullback Proximal Algorithm
We present sequential parameter estimation in the framework of the Hidden Markov Models. The sequential algorithm is a sequential Kullback proximal algorithm, which chooses the KullbackLiebler divergence as a penalty function for the maximum likelihood estimation. The scheme is implemented as £lters. In contrast to algorithms based on the sequential EM algorithm, the algorithm has faster conver...
متن کاملPotential use of microwave sea surface temperatures for the estimation of ocean currents
[1] In this paper, we examine the emerging potential offered by satellite microwave radiometer SST measurements to complement altimeter data to quantitatively derive surface ocean currents. The proposed methodology does not follow standard sequential temporal analysis but follows the application of the Surface QuasiGeostrophic (SQG) theory. Accordingly, under favourable environmental conditions...
متن کاملSequential noise compensation by a sequential kullback proximal algorithm
We present a sequential noise compensation method based on the sequential Kullback proximal algorithm, which uses the Kullback-Leibler divergence as a regularization function for the maximum likelihood estimation. The method is implemented as filters. In contrast to sequential noise compensation method based on the sequential EM algorithm, the convergence rate of the method and estimation error...
متن کاملAn Accelerated Sequential Class to Minimize Combined Risk for Simultaneous Estimation of Parameters of Several Probability Distributions
The fixed sample size procedure sometimes fail to deal with the estimation problem in which it is desired to control the combined risk associated with the estimation of parameters of various probability distributions simultaneously. In this paper for a general probabilistic model is proposed an “accelerated” sequential class to minimize the combined risk for simultaneous estimation of parameter...
متن کاملTime-Derivative Estimation of Noisy Movie Data using Adaptive Control Theory
This paper presents an adaptive differentiator of sequential data based on the adaptive control theory. The algorithm is applied to detect moving objects by estimating a temporal gradient of sequential data at a specified pixel. We adopt two nonlinear intensity functions to reduce the influence of noises. The derivatives of the nonlinear intensity functions are estimated by an adaptive observer...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006