Listar Producción Académica por autor
Mostrando publicaciones 41-60 de 65
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Multi-channel target speech enhancement using labeled random finite sets and deep learning under reverberant environments
Datta, Jayanta; Dehghan Firoozabadi, Ali; Zabala-Blanco, David; Castillo Soria, Francisco Ruben; Adams, Martin; Perez, Claudio (2023)We proposed a multi-channel speech enhancement procedure under reverberant conditions with acoustic source tracking and beamforming. A deep learning algorithm was applied to improve the construction of a measurement set ...
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Multi-speaker localization by central and lateral microphone arrays based on the combination of 2D-SRP and subband GEVD algorithms
Dehghan Firoozabadi, Ali; Irarrázaval, Pablo; Adasme, Pablo; Zabala-Blanco, David; Palacios Játiva, Pablo; Durney, Hugo; Sanhueza Olave, Miguel; Azurdia, Cesar (2022)In this paper, a novel speech source localization (SSL) algorithm by the use of the central and lateral microphone arrays is proposed with low complexity and high precision in undesirable acoustical environments. Firstly, ...
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Multi-task extreme learning machine for palm vein multiclassification
Mascaró-Muñnoz, Agustín; Zabala-Blanco, David; Hernández-García, Ruber; Ahumada-García, Roberto; Barrientos, Ricardo(2023)
Using biometric systems for individual identification is an alternative that provides excellent data security since this technology uses unique and distinctive information about a person. Palm vein recognition has been ...
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Multiclasificación de arritmias cardíacas usando unared neuronal y la tarjeta MyRio-1900
Flores-Calero, Marco; Leppe, Bruno; Pilla, Melisa; Gualsaquí, Marco; Zabala-Blanco, David; Albuja, Alberto (2021)Las enfermedades cardiovasculares (ECV) y en particular las arritmias cardíacas, se han convertidoen una de las principales causas de muerte en el mundo, sin importar el nivel de desarrollo de los países. Ladetección de ...
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Multilayer extreme learning machine as equalizer in OFDM-based radio-over-fiber systems
Zabala-Blanco, David; Mora, Marco; Azurdia-Meza, Cesar A.; Dehghan Firoozabadi, Ali; Palacios Játiva, Pablo; Montejo-Sánchez, Samuel (2021)
Mobile/wireless networks aim to support diverse services with numerous and sophisticated requirements, such as energy efficiency, spectral efficiency, negligible latency, robustness against time and frequency selective ...
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Multiresolution speech enhancement based on proposed circular nested microphone array in combination with sub-band affine projection algorithm
Dehghan Firoozabadi, Ali; Irarrazaval, Pablo; Adasme, Pablo; Zabala-Blanco, David; Durney, Hugo; Sanhueza, Miguel; Palacios-Játiva, Pablo; Azurdia-Meza, Cesar A. (2020)Speech enhancement is one of the most important fields in audio and speech signal processing. The speech enhancement methods are divided into the single and multi-channel algorithms. The multi-channel methods increase the ...
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Neuroevolution-based adaptive antenna array beamforming scheme to improve the V2V communication performance at intersections
Kang Kim, Hojin; Becerra, Raimundo; Bolufé, Sandy; Azurdia-Meza, Cesar A.; Montejo-Sánchez, Samuel; Zabala-Blanco, David (2021)The opportunistic exchange of information between vehicles can significantly contribute to reducing the occurrence of accidents and mitigating their damages. However, in urban environments, especially at intersection ...
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OFDM tolerance to additive white Gaussian and laser phase noises in optical heterodyning systems accompanied by the feasible pilot-assisted equalization
Zabala-Blanco, David; Azurdia-Meza, Cesar A.; Montejo-Sánchez, Samuel; Dehghan Firoozabadi, Ali (2020)It is well known that the performance of orthogonal frequency division multiplexing (OFDM) is limited by phase noise, which depends on the laser linewidths for coherent-detection radio over fiber (RoF) systems. In this ...
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On the performance of angular diversity receivers in underground mining VLC systems
Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Zabala-Blanco, David; Soto, Ismael; Ijaz, Muhammad; Carrera, Diego F. (2022)Visible Light Communications (VLC) have generated great interest in the scientific community in the last five years due to their great adaptation to harsh environments. Among the scenarios that can benefit from the advantages ...
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On the performance of MIMO-VLC techniques in underground mining environments
Solis, Julian; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Zabala-Blanco, David; Gutiérrez, Carlos A.; Kamal, Shaharyar; Estevez, Claudio (2023)Underground mining visible light communication (UM-VLC) is a promising solution to ensure the well-being of workers and facilitate their work. However, underground conditions present a significant divergence from widely ...
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Performance analysis of OFDM-Based VLC schemes in NLOS channels
Palacios-Játiva, Pablo; Azurdia-Meza, Cesar A.; Román Cañizares, Milton; Zabala-Blanco, David; Montejo-Sánchez, Samuel (2020)In this paper, several Orthogonal frequency division multiplexing (OFDM)-based Visible light Communications (VLC) techniques designed for intensity modulation/direct detection (IM/DD) are evaluated and compared for various ...
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Propagation features of visible light communication in underground mining environments
Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Román Cañizares, Milton; Zabala-Blanco, David; Saavedra, Carlos (2020)Due to the problems that radio-frequency technology presents in hostile environments, especially in mining environments, other forms of more robust as well as efficient communication have been explored in recent years. ...
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PVEIN-MLELM: a novel palm vein identification approach through multilayer extreme learning machine
Zabala-Blanco, David; Hernández-García, Ruber; Barrientos, Jaime; Ahumada García, Roberto (2022)Biometric identification systems play an essential role in multiple application areas, such as banking services, e-government, and public security, among others. Particularly, palm vein recognition is considered an emerging ...
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Review of extreme learning machines for the identification and classification of fingerprint databases
Martínez, Diego; Zabala-Blanco, David; Ahumada García, Roberto; Azurdia-Meza, Cesar A.; Flores-Calero, Marco; Palacios-Jativa, Pablo (2022)The fingerprint is one of the most popular and used biometric traits for the identification of people, due to its bio-invariant characteristic, precision, and easy acquisition. One of the stages in the identification of ...
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Semi-supervised extreme learning machine channel estimator and equalizer for vehicle to vehicle communications
Salazar, E.; Azurdia-Meza, Cesar A.; Zabala-Blanco, David; Bolufé, Sandy; Soto, Ismael (2021)Wireless vehicular communications are a promising technology. Most applications related to vehicular communications aim to improve road safety and have special requirements concerning latency and reliability. The traditional ...
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Simultaneous sound source localization by proposed cuboids nested microphone array based on subband generalized eigenvalue decomposition
Dehghan Firoozabadi, Ali; Irarrazaval, Pablo; Adasme, Pablo; Durney, Hugo; Sanhueza, Miguel; Zabala-Blanco, David; Azurdia-Meza, Cesar A. (2020)Multiple sound source localization is an important application in speech processing. In this paper, a cuboids nested microphone array (CuNMA) is proposed for sound acquisition. Also, the spatial aliasing is eliminated by ...
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SoftVein-WELM: a weighted extreme learning machine model for soft biometrics on palm vein images
Contactless biometric technologies such as palm vein recognition have gained more relevance in the present and immediate future due to the COVID-19 pandemic. Since certain soft biometrics like gender and age can generate ...
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Speaker counting based on a novel hive shaped nested microphone array by WPT and 2D adaptive SRP algorithms in near-field scenarios
Dehghan Firoozabadi, Ali; Adasme, Pablo; Zabala-Blanco, David; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A. (2023)Speech processing algorithms, especially sound source localization (SSL), speech enhancement, and speaker tracking are considered to be the main fields in this application. Most speech processing algorithms require knowing ...
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Speaker counting by scattered microphone array based on DOA and eigenvalue estimations in adverse environments
Dehghan Firoozabadi, Ali; Adasme, Pablo; Zabala-Blanco, David; Palacios-Jativa, Pablo; Azurdia-Meza, Cesar A. (2023)In this paper, a smart subband system for speaker counting is proposed by scattered microphone array (SMA) and using direction of arrival (DOA) estimation with adaptive eigenvalue decomposition (AED). Firstly, the recorded ...
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The extreme learning machine algorithm for classifying fingerprints
Fingerprint recognition is the most employed bio-metric method for identification and verification purposes. Fingerprint images are classified into five categories according to the morphology of their ridges, which decreases ...