نتایج جستجو برای: integral square error
تعداد نتایج: 470414 فیلتر نتایج به سال:
This letter investigates hybrid lower bounds on the mean square error in order to predict the so-called threshold effect. A new family of tighter hybrid large error bounds based on linear transformations (discrete or integral) of a mixture of the McAulay-Seidman bound and the Weiss-Weinstein bound is provided in multivariate parameters case with multiple test points. For use in applications, we...
This paper is concerned with weighted least mean square design of two-dimensional (2-D) zero-phase FIR lters with quadrantally symmetric and antisymmetric frequency responses. The optimal solutions are rst characterized by certain integral equations, and the existence, and uniqueness of the weighted least mean square solution for 2-D FIR lter design are then established using contraction mappin...
This paper deals with the design of observers for batch processes and the tuning of the observer gains with the objective to guarantee fast convergence of the state estimates. The approach followed in the present proposes to use an ITSE (Integral of the Time-weighted Square Error) criterion. The approach is illustrated on a batch process used in wastewater treatment, sequencing batch reactor (S...
An efficient method is derived in this paper to obviate the integral involved in the performance analysis of the minimum mean square error (MMSE) detector for direct-sequence code-division multiple-access (DS/CDMA) systems in fading environments. The new method is shown to significantly reduce the necessary computational load for the performance analysis of the MMSE detector. We then examine th...
The author presented a method for model order reduction of large-scale time-invariant systems in time domain. In this approach, two modified Hankel matrices are suggested for getting reduced order models. The proposed method is simple, efficient and retains stability feature of the original high order system. The viability of the method is illustrated through the examples taken from literature....
A method for the polygonal approximation using genetic algorithm is presented here. An approximate polygon has been obtained by choosing a certain number of points from a set of sampled points of the original closed planar curve. The Proposed algorithm searches for the longest possible line by maximizing the objective function involving the length and the integral square error along the line se...
We investigate machine learning for the least square regression with data dependent hypothesis and coefficient regularization algorithms based on general kernels. We provide some estimates for the learning raters of both regression and classification when the hypothesis spaces are sample dependent. Under a weak condition on the kernels we derive learning error by estimating the rate of some K-f...
In this paper particle swarm optimization(PSO)has been applied for the design of the optimal robust controllers for third order systems . The controller design problem is posed as constrained nonlinear optimization problem. The parameters of the chosen controller are obtained solving the nonlinear constrained optimization problem.The performance index which has been used in the design is integr...
This study presents the improvement in performance of Proportional-integral-derivative (PID) controller for position control antenna azimuth system subjected to external disturbance. The design PID is developed by adding arc tan function error instead direct an integral part controller, yielding a Nonlinear (NPID). A Particle Swarm Optimization (PSO) used this tune parameters and NPID controlle...
This paper proposes a fast block-matching algorithm that uses three fast matching error measures, besides the conventional mean-absolute error (MAE) or mean-square error (MSE). An incoming reference block in the current frame is compared to candidate blocks within the search window using multiple matching criteria. These three fast matching error measures are established on the integral project...
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