نتایج جستجو برای: recursive estimation
تعداد نتایج: 288048 فیلتر نتایج به سال:
In this paper, an application of modulating functions method for estimation of the frequency of noisy sinusoids, is proposed. The unknown frequency is updated by introducing a recursive algorithm which is independent by the choice of the modulating functions type. The proposed recursive estimation formula is able to take into account possible abrupt changes or sweep in the frequency of the sinu...
An adaptive object recognition scheme for image sequences of many object scenes is described. The scheme is applied for t r d c object recognition under ego-motion. The recursive estimation of object states is performed by an extended Kalman Filter with modified error estimation, which is a neural network learning process. This new feature allows to separate the judgment needed for selection of...
Power estimation is an important issue in digital VLSI circuit design. The estimation of average power dissipation of a circuit through exhaustive simulation is impractical due to the large number of primary inputs and their combinations. In this paper, two algorithms based on least square estimation are proposed for determining the average power dissipation in CMOS circuits. Least square estim...
ARCH processes and their extensions known as GARCH processes are widely accepted for modelling financial time series, in particular stochastic volatility processes. The offline estimation of ARCH and GARCH processes have been analyzed under a variety of conditions in the literature. The main contribution of this paper is a rigorous convergence analysis of a recursive estimation method for GARCH...
Recursive estimation or Kalman filtering usually relies on explicit model functions, that directly and explicitly describe the effect of the parameters on the observations. However, many problems in computer vision, including all those resulting in homogeneous equation systems, are easier described using implicit constraints between the observations and the parameters. By implicit we mean, that...
We present a new fast motion estimation method useful for high speed video encoding. Most of the motion estimation methods for video coding can be classified as Block Matching (BM) methods or Pel Recursive (PR) methods . Majority of the current fast motion estimation methods belong to block matching category. These methods try to reduce the number of search locations. Our proposed method is bas...
We assess the usefulness of monocular recursive motion estimation techniques for vehicle navigation in the absence of a model for the environment. For this purpose we extend a recently proposed recursive motion estimator, the Essential filter, to handle scale estimation. We examine experimentally the accuracy with which the motion and position of the vehicle may be computed on an 8000 fmmes ind...
To address sparse channel estimation problem in nonGaussian impulsive noise environment, a recursive maximum correntropy criteria (RMCC) algorithm using sparse constraint is proposed to combat impulsive-inducing instability. Specifically, the recursive algorithm on the correntrioy with a forgetting factor of error at iteration is to solve steady-state error for improving the maximum correntropy...
Wirelength estimation is one of the most important Rent’s rule applications. Traditionally, the Rent exponent is extracted using recursive bipartitioning. However, the obtained exponent may not be appropriate for the purpose of wirelength estimation. In this paper, we propose the concepts of partitioning-based Rent exponent and placement-based Rent exponent. The relationship between these two e...
This report introduces an online, fully adaptive HybridANN approach for the estimation of product properties across multiple crude distillation processes. An extension of eTS+ is considered, utilizing recursive density estimation (RDE), eClustering+ and fuzzily weighted recursive leastsquares (fwRLS) for one-step prediction of fuel quality in a data-sparse, sensor-heavy environment.[49] eTS+ ha...
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