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...

designing FIR fan filters suitable for the multibeam forming network of the wideband beamspace adaptive array. Characteristics were approximated through the combination of spectral transformation and the window method so that those beam patterns that included the sidelobe characteristics of the resulting fan filters were virtually frequency independent. Using the fan filters designed by the pro...

The LMS-based adaptive order-statistic filters are presented in this paper. The adaptive Ll-filters as extension of the adaptive L-filter for two-dimensional filtering of noisy greyscale images is studied too. Their adaptation properties are studied by three types of noise, the additive white Gaussian noise, the impulsive noise or both, respectively. Moreover, the impulsive noise has the fixed ...

This article provides an overview of an energybased approach to the study of the steady-state and transient performances of adaptive filters. The analysis employs energy-conservation arguments and is based on studying the energy flow through each iteration of an adaptive filter. Among other results, the approach characterizes the transient behavior of adaptive filters in terms of a linear time-...

This paper deals with the statistical behaviour of an affine combination of the outputs of two TVLMS adaptive filters that simultaneously adapting the same white Gaussian inputs and it’s cancelling the echoes by system identification. The purpose of the combination is to obtain TVLMS adaptive filters with faster convergence and small steady-state mean-square deviation (MSD). The linear combinat...

An adaptive filter is essentially a digital filter with self-adjusting characteristic. It adapts, automatically, to changes in its input signals. The contamination of a signal of interest by other unwanted, often lager, signals or noise is a problem often encountered in many applications. Typical applications where adaptive filters are appropriate are the following: Digital communication using ...

To exploit unknown ambient radio frequency signals of opportunity (SOPs) for positioning and navigation, one must estimate their states along with a set of parameters that characterize the stability of their oscillators. SOPs can be modeled as stochastic dynamical systems driven by process noise. The statistics of such process noise is typically unknown to the receiver wanting to exploit the SO...

Adaptive filters and image enhancement techniques have repeatedly been suggested to make feature extraction more robust. Few comparative analysis exists between competing techniques and even the existing ones evaluate only the effect of the filter on the image but not its effect on a feature extraction process. In this paper we present an experimental approach for the evaluation of low-level vi...