We present a lightweight text filtering algorithm intended for use with personal Web information agents. Fast response and low resource usage were the key design criteria, in order to allow the algorithm to run on the client side. The algorithm learns adaptive queries and dissemination thresholds for each topic of interest in its user profile. We describe a factorial experiment used to test the...

In this paper, we study collaborative filters that adapt future recommendations based on feedback (like/dislike) received for past recommendations. We consider a mathematical model where users and items are clustered, and ratings are noisy. We apply sequential decision techniques to study structure of collaborative filters that maximize the time average of the expected ratings. While our previo...

Adaptive ltering algorithms are considered in this work. The main e ort is devoted to improve the performance of such algorithms. Two classes of algorithms are given. The rst one uses averaging in the approximation sequence obtained via slowly varying gains, and the second one utilizes averages in both the approximation sequence and the observed signals. Asymptotic properties{convergence and ra...

This thesis contains a presentation and an analysis of adaptive filtering strategies for multidimensional data. The size, shape and orientation of the filter are signal controlled and thus adapted locally to each neighbourhood according to a predefined model. The filter is constructed as a linear weighting of fixed oriented bandpass filters having the same shape but different orientations. The ...

The main limitation of FQRD-RLS algorithms is that they lack an explicit weight vector term. Furthermore, they do not directly provide the variables allowing for a straightforward computation of the weight vector as is the case with the conventional QRD-RLS algorithm, where a back-substitution procedure can be used to compute the coefficients. Therefore, the applications of the FQRD-RLS algorit...

Impedance microfluidic cytometry is a noninvasive, label-free technology that can characterize the dielectric properties of single particles (beads/cells) at high speed. In this paper we show how digital signal processing methods are applied to the impedance signals for noise removal and signal recovery in an impedance microfluidic cytometry. Two methods are used; correlation to identify typica...

An adaptive procedure for removing a multimodal power spectrum using cascaded transversal digital filters is described. Sach section of the c/erall filtfir consists of a second order transversal filter whose zero pair is adaptively adjusted to remove one of the modes of the undesired spectrum. Ihe paper is divided into two sections. The paper first treats the case of an unknown but unimodal pow...

In this paper, the fast least-mean-squares (LMS) algorithm was used to both eliminate noise corrupting the important information coming from a piezoresisitive accelerometer for automotive applications, and improve the convergence rate of the filtering process based on the conventional LMS algorithm. The response of the accelerometer under test was corrupted by process and measurement noise, and...

A novel class of nonlinear adaptive L-filters based on cellular neural networks topology is presented. Like cellular neural systems and cellular automata as well, processing nodes, called cells, communicate with each other directly only through its nearest neighbors exchanging information. Each cell is an adaptive LMS L-filter. The proposed filters share the best features of both adaptive filte...