This paper introduces a novel, data{adaptive ltering framework: aane order{statistic lters. AAne order{statistic lters operate eeectively on a wide range of signal statistics, are sensitive to the dispersion of the observed data, and are therefore particularly useful in the processing of nonstationary signals. These properties result from the introduction of a tunable aanity function that measu...

A granulometric bandpass "lter (GBF) passes certain size bands in a binary image. There exists an analytic formulation for the optimization of GBFs in terms of the granulometric size density of a random set. This size density plays the role of the power spectral density for optimization of linear "lters. An optimal "lter depends on the parameters governing the distribution of the random set. In...

We introduce a novel, data-adaptive, and robust ltering framework: a ne order-statistic lters. A ne order-statistics relate classical order-statistics to observations in their natural order and thus inherently yield a meaningful data representation. A ne order-statistic lters exploit this notion to adaptively process nonstationary signals. A ne order-statistic lters overcome many of the limitat...

This paper presents the optimal design and performance analysis of the linear phase paraunitary (LPPU) M band lter banks in the frame of the vector quantized image coding. First, by maximizing the uni ed coding gain, which is expressed in terms of intra-band correlation, as well as inter-band energy compaction, the LPPU M band lter banks for the general factorization form are designed. Then, th...

Subband adaptive "ltering, which is the basis of modern acoustic echo cancellation (AEC) systems, is an important application of "lter banks in which critical sampling cannot be used in general because of decimation aliasing e!ects. This leads to the use of oversampling schemes in the "lter bank design wherein the perfect-reconstruction (PR) or near PR property is still required. In this work, ...

Packet lters are rules for classifying packets based on their header elds. A lter speciies a pattern for each of the key header elds, and an action that is applied to the packet matching this lter. Packet classiication is essential to routers supporting services such as Quality of Service (QoS), Virtual Private Networks (VPNs), and rewalls. A lter connict occurs when two or more lters overlap, ...

Centropages typicus is a temperate calanoid copepod occurring in Atlantic and Mediterranean coastal waters, where its reproductive biology population dynamics are well-known. C. has also been suggested as key species for monitoring the impact of environmental changes on secondary production. The aim this study to investigate seasonal interannual (egg production egg hatching success) feeding (fe...

The Fast Newton Transversal Filter (FNTF) algorithm starts from the Recursive LeastSquares algorithm for adapting an FIR lter of length N. The FNTF algorithm approximates the Kalman gain by replacing the sample covariance matrix inverse by a banded matrix of total bandwidth 2M+1 (AR(M) assumption for the input signal). In this algorithm, the approximate Kalman gain can still be computed using a...

The LOMOPLAN (LOcal MOnoPLane ANnihilator) lter in three dimensions is a deconvolution lter that takes a volume in and produces two volumes out. The x-output volume results from a rst order prediction-error lter on the x-axis, and the y-output volume is likewise on the y-axis. Synthetic data studies are promising.

Starting from maximizing information ow through a nonlinear neuron Bell and Sejnowski derived adaptation equations for blind deconvolution using an FIR lter [1]. In this paper we will derive a simpler form of the adaptation and we will apply it to more complex lter structures, such as recursive lters. As an application, we study blind echo cancellation for speech signals. We will also present a...