the stochastic models for ship heave motion in irregular sea waves based on white and colored noises are examined. for this purpose the deterministic model transfers to stochastic models by adding different noise terms in force and then these models are solved analytically and numerically. finally an investigation is undertaken to examine the parameter estimation problem of second order stochas...

Global motion estimation is an important task in a variety of video processing applications, such as coding, segmentation, classificatiodindexing, and mosaicing. The main difficulty in global motion parameter estimation resides in the disturbances due to the independently moving objects. The Iterarive Leaf-Square Estimati’on (USE) technique [l] is commonly used in estimating a fourparameter mod...

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...

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 brief, two algorithms based on least square estimation are proposed for determining the average power dissipation in complementary metal–oxide–semiconductor (CMOS) circuits. Least square estimation converges faster by att...

This paper proves the effectiveness of Least Mean Square (LMS) estimation algorithm for estimation of power system harmonics, inter-harmonics and sub-harmonics of distorted signal. Accurate estimation can be achieved by this technique for harmonics, sub-harmonics and inter-harmonics estimation including possible variation in the signal such as change in amplitude when applied to a distorted pow...