• 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 ...

  • 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 ...

  • 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 ...

  • A new Internet of things hybrid VLC/RF System for m-Health in an underground mining industry 

    Iturralde, Daniel; Guaña-Moya, Javier; Palacios Játiva, Pablo; Sánchez, Iván; Ijaz, Muhammad; Dehghan Firoozabadi, Ali; Zabala-Blanco, David (2024)
    This paper proposes a new system based on the Industrial Internet of Things (IIoT) for the monitoring of Mobile Health (m-Health) of workers in the underground mining industry. The proposed architecture uses a hybrid ...

  • 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 ...

  • 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, ...

  • 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 ...

  • 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), ...

  • 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 ...

  • Comparative analysis of cooperative routing protocols in cognitive radio networks 

    Palacios Játiva, Pablo; Saavedra, Carlos; Freire, José J.; Román Cañizares, Milton; Zabala-Blanco, David (2020)
    In this work, we investigate and compare cooperative routing protocols for channel selection purposes. In specific, the following efficient protocols: Channel Selection Scheme for Cooperative Routing Protocols (CSCR) and ...

  • 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 ...

  • Estimating the number of speakers by novel zig-zag nested microphone array based on wavelet packet and adaptive GCC method 

    Dehghan Firoozabadi, Ali; Irarrázaval, Pablo; Adasme, Pablo; Zabala-Blanco, David; Palacios Játiva, Pablo; Durney, Hugo; Sanhueza Olave, Miguel (2022)
    In this paper, a new speaker counting algorithm is proposed by novel zig-zag nested array (ZZNA) combining with adaptive generalized cross-correlation (GCC) function (with phase transform (PHAT) and maximum likelihood (ML)) ...

  • Evaluation of extreme learning machines for detecting heart diseases 

    Martínez, Diego; Zabala-Blanco, David; Ahumada-Garcia, Roberto; Soto, Ismael; Dehghan Firoozabadi, Ali; Palacios Játiva, Pablo (2023)
    Currently, cardiovascular diseases are the leading cause of human death according to the World Health Organization. Their prediction allows doctors to indicate preventive measures to their patients and perform procedures ...

  • 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 ...

  • Extreme learning machine for mass spectrometry data analysis 

    Ulloa Orellana, Mario; López-Cortès, Xaviera A.; Zabala-Blanco, David; Palacios Játiva, Pablo; Datta, Jayanta (2022)
    In this work, we introduce the use of a weighted extreme learning machine (ELM) to give an automated predictive value to mass spectrometry data. In specific, the data obtained with Matrix-Assisted Laser DesorptioMonization-Time ...

  • Extreme learning machines as equalizers on optical OFDM systems 

    Mascaró-Muñoz, Agustín; Ahumada García, Roberto; Zabala-Blanco, David; Azurdia-Meza, César A.; Soto, Ismael; Palacios Játiva, Pablo (2023)
    Optical Fiber Radio (RoF) systems based on OFDM meet the needs of high transmission and reception speeds, as well as offering greater reliability in the system. These systems are exposed to various disturbances, such as ...

  • ICI reduction by using the improved double-jump 1 pulse in MQAM-OFDM schemes 

    Zabala-Blanco, David; Azurdia-Meza, Cesar A.; Montejo-Sánchez, Samuel; Dehghan Firoozabadi, Ali; Palacios Játiva, Pablo; Soto, Ismael (2020)
    Orthogonal frequency division multiplexing (OFDM) is sensitive to frequency offset since it causes inter-carrier interference (ICI). Frequency offset results from the receiver's crystal oscillator inaccuracy, Doppler spread, ...

  • Improved double-jump 2 pulse to compensate frequency offset in MQAM-OFDM systems 

    Zabala-Blanco, David; Azurdia-Meza, Cesar A.; Palacios-Játiva, Pablo (2020)
    Orthogonal frequency division multiplexing (OFDM) is severely affected by the frequency offset because of it causes inter-carrier interference (ICI). ICI can be diminished with the assistance of any pulse that complies the ...

  • 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, ...

  • Multilayer extreme learning machine as equalizer in OFDM-based radio-over-fiber systems 

    Zabala-Blanco, David; Mora, Marco ORCID; 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 ...