This paper proposes the application of the dual-tree complex wavelet transform on fault monitoring and identification in aeronautical structures. For this purpose, a multiscale analysis from phase of the complex wavelet ...

Images of the Sun obtained in distinct electromagnetic ranges can be very useful to investigate electrodynamical processes that occur in this star. This work analyzes the application of a two-dimensional version of the ...

This paper presents a new approach to detect and classify background noise in speech sentences based on the negative selection algorithm and dual-tree complex wavelet transform. The energy of the complex wavelet coefficients ...

Structured sparsity approaches have recently received much attention in the statistics, machine learning, and signal processing communities. A common strategy is to exploit or assume prior information about structural ...

The magnetic resonance (MR) imaging is a noninvasive method that allows high soft tissue differentiation by providing a good anatomical detailing level. For this reason, the MR image is often used to help in diagnosis and ...

La teledetección aplicada a las geo-ciencias es una herramienta que ofrece un costo relativamente bajo para la detección, clasificación y seguimiento de fenómenos terrestres. Muchos de sus sensores ofrecen imágenes de media ...