In this paper, a technique to determine the filter bank coefficients of Wavelets db3 and coif2 using mean square error adaptive filter RLS algorithm has been presented. Filter bank coefficients of the wavelet are treated as weight vector of adaptive filter and are changed iteratively to reach the desired value after few iteration. It is found that of the three adaptive algorithms viz. Least Mea...

The main purpose of this paper was to efficiently apply the new procedure solve Linear Systems Volterra Integro-Fractional Differential Equations (LSVIFDEs) in Caputo sense for fractional order by means Fourth Block-by-Block approach with forward finite difference approximation. With technique, authors use an appropriate process convert our problem into analogous piecewise iterative algebraic l...

An adaptive scaled mean square error (SMSE) filter using a Hopfield neural-network-based algorithm is presented. We show the development of the original SMSE filter from the minimum mean square error (MMSE) filter and the parametric mean square error (PMSE) filter, both of which suffer from the oversmooth phenomena. The SMSE filter is more efficient than the PMSE filter in terms of noise remova...

The authors present an optimization algorithm for order reduction and its application for the determination of the relative mapping errors of linear time invariant dynamic systems by the simplified models. These relative mapping errors are expressed by means of the relative integral square error criterion, which are determined for both unit step and impulse inputs. The reduction algorithm is ba...

This paper investigates an adaptive space-time equalisation (STE) assisted multiuser detection scheme for multiple-antenna aided multiuser systems. A minimum bit error rate (MBER) design is compared with the standard minimum mean square error (MMSE) design. It is shown that the MBER design provides significant performance enhancement, in terms of achievable system bit error rate, over the MMSE ...

The authors present an algorithm for order reduction of linear time invariant dynamic systems using the combined advantages of the eigen spectrum analysis and the error minimization by particle swarm optimization technique. Pole centroid and system stiffness of both original and reduced order systems remain same in this method to determine the poles, whereas zeros are synthesized by minimizing ...

in this paper, a new robust controller based on geometric homogeneity and adaptive integral sliding mode is proposed for a class of second order systems. the upper bound of the system disturbances is not required. fully unknown parameters have been considered in the described model and its finite–time convergence to zero equilibrium point is proved. moreover, the controller is developed in the ...

Adaptive filters are the filters that self adjust their transfer functions according to the error signal requirement.There are two categories of adaptive filters : Linear and non linear.Linear adaptive filters are those adaptive filters that obey the principle of superposition when the parameters are kept fixed. Non linear adaptive filters are those that do not follow the principle of superposi...

This paper puts forth the notion that explicitly speciied transition bands have been introduced in the lter design literature in part as an indirect approach for dealing with discontinu-ities in the desired frequency response. We suggest that the use of explicitly speciied transition bands is sometimes inappropriate because, to satisfy a meaningful optimality criterion, their use implicitly ass...

The paper revisits adaptive beamforming assisted receiver for multiple antenna aided multiuser systems that employ binary phase shift keying (BPSK) modulation. The standard minimum mean square error (MMSE) design is based on the criterion of minimising the mean square error (MSE) between the beamformer’s desired output and complex-valued beamformer’s output. Since the desired output for BPSK sy...