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Mostrando publicaciones 1-20 de 37
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3D multiple sound source localization by proposed cuboids nested microphone array in combination with adaptive wavelet-based subband GEVD
Dehghan Firoozabadi, Ali; Irarrazaval, Pablo; Adasme, Pablo; Zabala-Blanco, David; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A. (2020)Sound source localization is one of the applicable areas in speech signal processing. The main challenge appears when the aim is a simultaneous multiple sound source localization from overlapped speech signals with an ...
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A general MIMO VLC channel model for underground mining environments
Solis, Julian; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Zabala-Blanco, David; Soto, Ismael; Ijaz, Muhammad (2022)Underground Mining (UM) is a harsh environment that involves multiple threats to worker safety and needs adequate wireless communications to ensure worker well-being and optimize miner efficiency. While radio frequency ...
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A multi-channel speech enhancement method based on subband affine projection algorithm in combination with proposed circular nested microphone array
Dehghan Firoozabadi, Ali; Irarrazaval, Pablo; Adasme, Pablo; Durney, Hugo; Sanhueza, Miguel; Zabala-Blanco, David; Azurdia-Meza, Cesar A. (2021)In this paper, a novel multi-channel speech enhancement system is introduced based on a proposed circular nested microphone array (C-NMA) in combination with subband affine projection algorithm (SB-APA). The multi-channel ...
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A new COVID-19 detection method based on CSK/QAM visible light communication and machine learning
Soto, Ismael; Zamorano-Illanes, Raul; Becerra, Raimundo; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Alavia, Wilson; García, Verónica; Ijaz, Muhammad; Zabala-Blanco, David (2023)This article proposes a novel method for detecting coronavirus disease 2019 (COVID-19) in an underground channel using visible light communication (VLC) and machine learning (ML). We present mathematical models of COVID-19 ...
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A novel and adaptive angle diversity-based receiver for 6g underground mining vlc systems
Palacios Játiva, Pablo; Sánchez Soto, Iván; Soto, Ismael; Azurdia-Meza, Cesar A.; Zabala-Blanco, David; Ijaz, Muhammad; Dehghan Firoozabadi, Ali; Plets, David (2022)Visible light communication (VLC) is considered an enabling technology for future 6G wireless systems. Among the many applications in which VLC systems are used, one of them is harsh environments such as Underground ...
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A novel frequency domain visible light communication (VLC) three-dimensional trilateration system for localization in underground mining
Dehghan Firoozabadi, Ali; Azurdia-Meza, Cesar A.; Soto, Ismael; Seguel, Fabian; Krommenacker, Nicolas; Iturralde, Daniel; Charpentier, Patrick; Zabala-Blanco, David (2019)A new visible light communication (VLC) system is proposed for localization in underground mining. Existent systems, such as global positioning system (GPS) and systems based on mobile communication, are generally not ...
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A novel traffic prediction method using machine learning for energy efficiency in service provider networks
Rau, Francisco; Soto, Ismael; Zabala-Blanco, David; Azurdia-Meza, Cesar A.; Ijaz, Muhammad; Ekpo, Sunday; Gutierrez, Sebastian (2023)This paper presents a systematic approach for solving complex prediction problems with a focus on energy efficiency. The approach involves using neural networks, specifically recurrent and sequential networks, as the main ...
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A VLC channel model for underground mining environments with scattering and shadowing
Palacios-Játiva, Pablo; Azurdia-Meza, Cesar A.; Sánchez, Iván; Seguel, Fabian; Zabala-Blanco, David; Dehghan Firoozabadi, Ali; Gutiérrez, Carlos A.; Soto, Ismael (2020)Underground mining is an industry that preserves the miners' safety and efficiency in their work using wireless communication systems as a tool. In addition to communication links characterized by radio frequency signals, ...
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All-optical routers modeled through the matrix method with NVidia CUDA development framework
Zabala-Blanco, David; Azurdia-Meza, Cesar A.; Dehghan Firoozabadi, Ali; Palacios Játiva, Pablo (2019)Optical packet switching (OPS) is a promising technology in order to satisfy the ever-increasing need for bandwidth. With this technology, data packets, which consist of a header and a payload, are assembled and transmitted ...
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Analysis of spectrum detection and decision using machine learning algorithms in cognitive mobile radio networks
Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Sánchez, Iván; Zabala-Blanco, David; Román Cañizares, Milton (2021)In this work, the performance of four Machine Learning Algorithms (MLAs) applied to Cognitive Mobile Radio Networks (CMRNs) are analyzed. These algorithms are Coalition Game Theory (CGT), Naive Bayesian Classifier (NBC), ...
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BER improvement using the better than double-jump 2 pulse in OFDM schemes prone to frequency offset
Zabala-Blanco, David; Azurdia-Meza, Cesar A.; Kamal, Shaharyar; Dehghan Firoozabadi, Ali; Montejo-Sánchez, Samuel (2019)Orthogonal frequency division multiplexing (OFDM) is highly sensitive to frequency offset since it induces inter-carrier interference (ICI). Fortunately, the pulse shaping filter method has proven its potential to reduce ...
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BER performance of OFDM-based visible light communication systems
Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Román Cañizares, Milton; Zabala-Blanco, David; Soto, Ismael (2019)In this paper, OFDM-based techniques designed for Intensity Modulation/Direct Detection (IMDD) modulation applied to Visible Light Communications (VLC) systems are evaluated. The evaluated techniques are Asymmetrically ...
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Detection of epileptic seizures by analysis of electroencephalogram based on Wavelet transform
Urbina Fredes, Sebastián; Dehghan Firoozabadi, Ali; Adasme, Pablo; Zabala-Blanco, David; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A. (2023)In recent years, some novel methods have been developed for the detection of diseases based on biomedical signals. In this article, a method for the automated detection of epilepsy seizures is presented by analyzing ...
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Detection of obfuscated malware by engineering memory functions applying ELM
Moraga, Leonardo Igor; Rivelli Malcó, Juan Pablo; Zabala-Blanco, David; Ahumada-García, Roberto; Azurdia-Meza, Cesar A.; Dehghan Firoozabadi, Ali (2023)Memory analysis is critical to detecting malicious processes, as it can capture various characteristics and behaviors. However, although it is a field in full research, there are still some major obstacles in malware ...
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Empirical path loss distribution for visible light communications in underground mines
Zabala-Blanco, David; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Román, Milton; Seguel, Fabián; Soto, Ismael (2020)Visible light communication (VLC) systems allow communication and lighting simultaneously. This advantage presents VLC as an emerging technology to provide reliable communication in harsh environments, such as underground ...
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Evaluation of localization precision by proposed quasi-spherical nested microphone array in combination with multiresolution adaptive steered response power
Dehghan Firoozabadi, Ali; Irarrazaval, Pablo; Adasme, Pablo; Zabala-Blanco, David; Azurdia-Meza, Cesar A. (2020)Multiple sound source localization in noisy and reverberant conditions is one of the important challenges in the speech signal processing. The aim of this article is three-dimensional sound source localization in undesirable ...
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Experimental study of visible light communication links with a strong line of sight component
Fredes Utreras, Camilo; Fabres Ávalos, Vincko; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Soto, Ismael; Zabala-Blanco, David (2023)The importance of studying visible light communications (VLC) systems is present today and growing each day due to the possibilities of higher data rates, security, and various applications. In this manuscript, we study ...
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Extreme learning machine-based receiver for multi-user massive MIMO systems
Carrera, Diego F.; Zabala-Blanco, David; Vargas-Rosales, Cesar; Azurdia-Meza, Cesar A. (2021)An extreme learning machine (ELM)-based receiver for multi-user massive MIMO systems is introduced. The proposed ELM combining method, defined in the complex plane, is designed to directly perform MIMO combining processing ...
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Extreme learning machines to combat phase noise in RoF-OFDM schemes
Radio-over-fiber (RoF) orthogonal frequency division multiplexing (OFDM) systems have been revealed as the solution to support secure, cost-effective, and high-capacity wireless access for the future telecommunication ...
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Finite field metrics applied to M-FSK modulation in VLC systems
Guajardo-Penroz, Cristobal; Soto, Ismael; San-Juan, Enrique; Adasme, Pablo; Azurdia-Meza, Cesar A.; Zabala-Blanco, David (2020)This paper provides an alternative to digital filter based frequency detection for multi-frequency shift keying modulation (M-FSK) using field programmable gate array (FPGA) architectures, by providing a hamming space ...