This paper addresses the problem of designing an adaptive Kalman consensus filter (a-KCF) which embedded in multiple mobile agents that are distributed a 2D domain. The role such filters is to provide estimation states dynamic linear system through communication over wireless sensor network. It assumed each sensing device (embedded agent) provides partial state measurements and transmits inform...

Noise is the most serious issue in the filters and adaptive filters are subjected to this unwanted component. This paper deals with the problem of the adaptive noise and various adaptive algorithms functions which when implemented practically shows that the noise is cancelled or removed by the neural network approach using the exact random basis function. The adaptive filters are used to contro...

Multiplicative general parameter (MGP) approach to finite impulse response (FIR) filtering introduces a novel way to realize cost effective adaptive filters in compact very large scale integrated circuit (VLSI) implementations used for example in mobile devices. MGP-filter structure comprises of additions and only a small number of multiplications, thus making the structure very simple. Only a ...

Exponentially Weighted Recursive Least Squares (EWRLS) is adopted to estimate adaptive prediction filters for f-x seismic interpolation. Adaptive prediction filters are able to model signals where the dominant wavenumbers are varying in space. This concept leads to a f-x interpolation method that does not require windowing strategies for optimal results. In other words, adaptive prediction filt...

One of the main problem in biomedical data processing like electrocardiography is the separation of the wanted signal from noises caused by power line interference, external electromagnetic fields and random body movements and respiration. Different types of digital filters are used to remove signal components from unwanted frequency ranges. It is difficult to apply filters with fixed coefficie...

This paper investigates the possibility that an adaptive feedback controller can be designed and implemented for the suppression of aircraft’s structural vibration in the presence of any aeroelastic/aeroservoelastic interaction, instead of using the non-adaptive notching filters. Currently aircraft with non-adaptive control laws usually include roll-off or notch filters to avoid AE/ASE interact...

In this paper we introduce the generalized feedforward filter, a new class of adaptive filters that combine attractive properties of Finite Impulse Response (FIR) filters with some of the power of Infinite Impulse Response (IIR) filters. A particular case, the adaptive gamma filter, generalizes Widrow’s adaptive linear combiner (adaline) to an infinite impulse response filter. Yet, the stabilit...

Adaptive recursive filters are often implemented using direct-form realizations. In this l ;. thesis, adaptive algorithms are presented for state-space systems so that the performance of various filter structures may be investigated. Through the use of simulations, it was found that much faster adaptation rates and much improved round-off noise performance may be obtained using structures other...