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...

Multichannel equalization (MCEQ) techniques have been proposed for the inversion of acoustic impulse responses (AIRs) with a wide range of applications such as speech dereverberation. Adaptive MCEQ techniques can address the problem of high computational complexity required for the inversion of high order AIRs using non-adaptive algorithms based on the multiple-input/output inverse theorem (MIN...

1 Pulsar detection and timing experiments are applications where adaptive filters seem eminently suitable tools for radio-frequency-interference (RFI) mitigation. We describe a novel variant which works well in field trials of pulsar observations centred on an observing frequency of 675 MHz, a bandwidth of 64 MHz and with 2-bit sampling. Adaptive filters have generally received bad press for RF...

In this paper, transform domain adaptive filters are studied and reviewed based on previous researches. In transform domain adaptive filters orthogonality properties of transformation such as discrete cosine transform (DCT), discrete sine transform (DST), wavelet transform and discrete fourier transform (DFT) are used to achieve an improved convergence rate as compared to the time domain analys...