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Listar por palabra clave "Wavelet transform"

Mostrando ítems 1-15 de 15

A General Model for the Design of Efficient Sign-Coding Tools for Wavelet-Based Encoders

López-Granado, Otoniel Mario; Martínez-Rach, Miguel Onofre; Martí-Campoy, Antonio; Cruz-Chávez, Marco Antonio; Pérez Malumbres, Manuel (MDPI AG, 2020-11)

[EN] Traditionally, it has been assumed that the compression of the sign of wavelet coefficients is not worth the effort because they form a zero-mean process. However, several image encoders such as JPEG 2000 include ...
Application of wavelet entropy to predict atrial fibrillation progression from the surface ECG

Alcaraz, Raúl; Rieta Ibañez, José Joaquín (Hindawi Publishing Corporation, 2012)

Atrial fibrillation (AF) is the most common supraventricular arrhythmia in clinical practice, thus, being the subject of intensive research both in medicine and engineering. Wavelet Entropy (WE) is a measure of the disorder ...
Detección y Localización de Ruptura Súbita mediante Transformada Wavelet Discreta y Correlación Cruzada

Trutié-Carrero, Eduardo; Valdés-Santiago, Damian; León-Mecías, Ángela; Ramírez-Beltrán, Jorge (Universitat Politècnica de València, 2018-03-05)

[ES] La ruptura súbita en los sistemas de distribución de agua provoca gran pérdida de este recurso natural, interrumpe el abastecimiento, daña las calles y edificaciones y aumenta la transmisión de enfermedades infecciosas. ...
Detection of Broken Outer-Cage Bars for Double-Cage Induction Motors Under the Startup Transient

Antonino-Daviu, J.; Riera-Guasp, Martín; Pons Llinares, Joan; Park, Jongbin; Lee, Sang Bin; Yoo, Jiyoon; Kral, Christian (Institute of Electrical and Electronics Engineers, 2012)

[EN] Unlike single-cage rotor fault detection, fast Fourier transform (FFT)-based steady-state spectrum analysis techniques can fail to detect outer-cage faults in double-cage induction motors due to the small outer-cage ...
Diagnóstico de fallas mediante una LSTM y una red elástica

Márquez-Vera, M. A.; López-Ortega, O.; Ramos-Velasco, L. E.; Ortega-Mendoza, R. M.; Fernández-Neri, B. J.; Zúñiga-Peña, N. S. (Universitat Politècnica de València, 2021-04-06)

[EN] Fault diagnosis is important for industrial processes because it permits to determine the necessity of emergency stops in a process and/or to propose a maintenance plan. Two strategies for fault diagnosis are compared ...
Estudio comparativo de técnicas de reducción de ruido en señales industriales mediante Transformada Wavelet Discreta y selección adaptativa del umbral

Cedeño Pozo, Antonio; Trujillo Codorniú, Rafael (Universitat Politècnica de València, 2013-04-07)

[ES] Las técnicas de reducción de ruido son ampliamente utilizadas en la grabación de audio, la edición de imágenes y en el procesamiento de señales industriales. La idea es reconstruir los datos originales a partir de la ...
Fault Diagnosis in the Slip Frequency Plane of Induction Machines Working in Time-Varying Conditions

Puche-Panadero, Rubén; Martinez-Roman, Javier; Sapena-Bano, Angel; Burriel-Valencia, Jordi; Riera-Guasp, Martín (MDPI AG, 2020-06)

[EN] Motor current signature analysis (MCSA) is a fault diagnosis method for induction machines (IMs) that has attracted wide industrial interest in recent years. It is based on the detection of the characteristic fault ...
Feature Extraction for the Prognosis of Electromechanical Faults in Electrical Machines through the DWT

Antonino-Daviu, J.; Riera-Guasp, Martín; Pineda-Sanchez, Manuel; Pons Llinares, Joan; Puche-Panadero, Rubén; Pérez-Cruz, Juan (Atlantis Press, 2009)

[EN] Recognition of characteristic patterns is proposed in this paper in order to diagnose the presence of electromechanical faults in induction electrical machines. Two common faults are considered; broken rotor bars and ...
Fusión de neuroimágenes de PET/CT utilizando un esquema basado en Wavelet y la transformada discreta de Haar

Orellana, A.; Rodríguez, R.; Yanes, D.; Valdés-Sosa, P. (Universitat Politècnica de València, 2020-12-23)

[EN] In neurosciences, imaging techniques are used to diagnose diseases and assist in surgical interventions to determine the exact location and size of a tumor. International research has used different techniques for the ...
On the design of a bioacoustic sensor for the early detection of the red palm weevil

Martinez Rach, Miguel Onofre; Migallón, Héctor; López Granado, Otoniel; Perez Malumbres, Manuel Jose; Martí Campoy, Antonio; Serrano Martín, Juan José (MDPI, 2013-01)

During the last two decades Red Palm Weevil (RPW, Rynchophorus Ferrugineus) has become one of the most dangerous threats to palm trees in many parts of the World. Its early detection is difficult, since palm trees do not ...
On the design of fast and efficient wavelet image coders with reduced memory usage

Oliver Gil, José Salvador (Universitat Politècnica de València, 2008-05-06)

Image compression is of great importance in multimedia systems and applications because it drastically reduces bandwidth requirements for transmission and memory requirements for storage. Although earlier standards for ...
Transient detection of eccentricity-related components in induction motors through the Hilbert-Huang Transform

Antonino-Daviu, J.; Jover Rodríguez, Pedro Vicente; Riera-Guasp, Martín; Arkkio, Antero; Roger-Folch, José; Pérez, R.B. (Elsevier, 2009)

[EN] The identification and extraction of characteristic patterns are proposed in this work for the diagnosis and evaluation of mixed eccentricities in induction electrical machines with parallel stator branches. Whereas ...
Waveform Integrity in Atrial Fibrillation: The Forgotten Issue of Cardiac Electrophysiology

Martinez-Iniesta, Miguel; Rodenas, Juan; Alcaraz, Raúl; Rieta, J J (Springer-Verlag, 2017)

[EN] Atrial fibrillation (AF) is the most common arrhythmia in clinical practice with an increasing prevalence of about 15% in the elderly. Despite other alternatives, catheter ablation is currently considered as the ...
Wavelet Cycle Spinning Denoising of NDE Ultrasonic Signals Using a Random Selection of Shifts

San Emeterio Prieto, José Luis; Rodríguez-Hernández, Miguel A. (Springer Verlag (Germany), 2015-03)

Wavelets are a powerful tool for signal and image denoising. Most of the denoising applications in different fields were based on the thresholding of the discrete wavelet transform (DWT) coefficients. Nevertheless, DWT ...
Wavelet entropy automatically detects episodes of atrial fibrillation from single-lead electrocardiograms

Ródenas, Juan; García, Manuel; Alcaraz, Raúl; Rieta, J J (MDPI, 2015-09)

This work introduces for the first time the application of wavelet entropy (WE) to detect episodes of the most common cardiac arrhythmia, atrial fibrillation (AF), automatically from the electrocardiogram (ECG). Given that ...