ABSTRACf. In [3], Reed establishes a bijection between the (equivalence classes of) principal Tt-extensions of a topological space X and the compatible, cluster-generated, Lodato nearnesses on X. We extend Reed's result to the To case by obtaining a one-to-one correspondence between the principal To-extensions of a space X and the collections of sets (called "t-grill sets") which generate a cer...

We introduce principal-channels for cutting out objects from an image by one-sided scribbles. We demonstrate that few scribbles, all from within the object of interest, are sufficient to mark it out. One-sided scribbles provide significantly less information than two-sided ones. Thus, it is required to maximize the use of image-information. Our approach is to first analyze the image with a larg...

State estimation is the foundation of any control and decision making in power networks. The first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. This paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...

BACKGROUND In this paper we apply the principal-component analysis filter (Hotelling filter) to reduce noise from dynamic positron-emission tomography (PET) patient data, for a number of different radio-tracer molecules. We furthermore show how preprocessing images with this filter improves parametric images created from such dynamic sequence.We use zero-mean unit variance normalization, prior ...

We employ a hybrid state-space sinusoidal model for general use in analysis-synthesis based audio transformations. This model, which has appeared previously in altered forms (e.g. [5], [8], perhaps others) combines the advantages of a source-filter model with the flexible, time-frequency based transformations of the sinusoidal model. For this paper, we specialize the parameter identification ta...

brain-computer interfaces (bci) record brain signals, analyze and translate them into control commands which are relayed to output devices that carry out desired actions. these systems do not use normal neuromuscular output pathways. actually, the principal goal of bci systems is to provide better life style for physically-challenged people which are suffered from cerebral palsy, amyotrophic la...

This paper describes a method of using a tracking system to track the upper part of the anterior surface during scanning for developing patient-specific models of respiration. In the experimental analysis, the natural variation in the anterior surface during breathing will be modeled to reveal the dominant pattern in the breathing cycle. The main target is to produce a patient-specific set of p...

The well-known a(3 filter achieves its best performance when measurement outliers are rare. Two modifications of the a(3 filter are presented for improving its performance when outliers are commonplace. The a f3 J-l filter uses a drag coefficient to ensure that the target motion model has a finite asymptotic velocity variance. Although the af3J-l filter is less sensitive to outliers than the a ...

The problem of optimization of subband coders for given input statistics has received considerable attention in recent literature. The goal in these works has been to maximize the coding gain, which is a compression performance measure under the standard quantizer noise models for high bit-rates. The optimal filter bank (FB) for this problem has been observed to be a principal component filter ...

We address a new and rapidly growing application , automated searching through large sets of images to nd a pattern \similar to this one." Classical matched ltering fails at this problem since patterns, particularly textures, can diier in every pixel and still be perceptually similar. Most potential recognition methods have not been tested on large sets of imagery. This paper evaluates a key re...