Process monitoring is a fundamental task to support operator decisions under ab- normal situations. Most process monitoring approaches, such as Principal Components Analysis and Locality Preserving Projections, are based ...

This paper proposes a technique for processing signals in which the relevant feature consists of the shape and position of narrow doppler spectral lines. The proposed technique is the digital version of a quadrature ...

In this work a new method is proposed of separated estimation for the ARMA spectral model based on the modified Yule-Walker equations and on the least squares method. The proposal of the new method consists of performing ...

Nitrogen is one of the main required nutrients for the production of citrus plants. Farmers have used the chemical analysis of leaf tissue to determine the amount of nitrogen needed in a crop. However, its possible to ...

The goal of this paper is to study and propose a new technique for noise reduction used during the reconstruction of speech signals, particularly for biomedical applications. The proposed method is based on Kalman filtering ...

Chaotic signals have been considered potentially attractive in many signal processing applications ranging from wideband communication systems to cryptography and watermarking. Besides, some devices as nonlinear adaptive ...

Multidimensional sensors such as spectral sensors have been widely used in monitoring tasks. They provide simultaneously many measurements distributed over the spectra. These measurements are normally highly correlated ...