Browsing by Author "Iglesia, Daniel I."

Now showing items 1-8 of 8

    • A Comparative Study of Low Cost Open Source EEG Devices 

      Laport López, Francisco; Vázquez Araújo, Francisco Javier; Iglesia, Daniel I.; Castro-Castro, Paula-María; Dapena, Adriana (MDPI AG, 2019-08-05)
      [Abstract] A comparison of two open source electroencephalography devices designed to acquire signals associated to the brain activity is presented in this work. The experiments are developed considering the task of ...

    • A Novel Hybrid Approach to Improve Performance on Frequency Division Duplex Systems with Linear Precoding 

      Castro-Castro, Paula-María; García-Naya, José A.; Iglesia, Daniel I.; Dapena, Adriana (Springer, 2010)
      [Abstrtact] Linear precoding is an attractive technique to combat interference in multiple-input multiple-output systems because it reduces costs and power consumption in the receiver equipment. Most of the frequency ...

    • A Prototype of EEG System for IoT 

      Laport López, Francisco; Dapena, Adriana; Castro-Castro, Paula-María; Vázquez Araújo, Francisco Javier; Iglesia, Daniel I. (World Scientific Publishing Co. Pte. Ltd., 2020-05-04)
      [Abstract] In this work, we develop open source hardware and software for eye state classification and integrate it with a protocol for the Internet of Things (IoT). We design and build the hardware using a reduced number ...

    • Adaptación al EEES de las prácticas de Electricidad y Electrónica de la E.T.S. de Náutica y Máquinas de la Universidade da Coruña mediante un diseño basado en competencias 

      Castro-Castro, Paula-María; Dapena, Adriana; García-Naya, José A.; Iglesia, Daniel I. (Universidade de Vigo, Facultade de Ciencias da Educacion, 2010)
      [Summary] The adaptation to the European Higher Education Area (EHEA) of the subject of Electricity and Electronics at the Escuela Técnica Superior de Náutica y Máquinas of the University of A Coruña requires important ...

    • Channel estimation techniques for linear precoded systems: Supervised, unsupervised, and hybrid approaches 

      Castro-Castro, Paula-María; García-Naya, José A.; Dapena, Adriana; Iglesia, Daniel I. (Elsevier, 2011-07)
      [Abstract] Linear precoding is an attractive technique to combat interference in multiple-input multiple-output systems because it reduces cost and power consumption at the receiver. Frequency division duplex systems with ...

    • DASBE: Decision-Aided Semi-Blind Equalization for MIMO Systems with Linear Precoding 

      García-Naya, José A.; Dapena, Adriana; Castro-Castro, Paula-María; Iglesia, Daniel I. (Akademie Ved Ceske Republiky * Ustav Informatiky, 2010)
      [Abstract] Multiple-Input Multiple-Output (MIMO) digital communications standards usually acquire Channel State Information (CSI) by means of supervised algorithms, which implies a loss of performance since pilot symbols ...

    • Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces 

      Laport López, Francisco; Iglesia, Daniel I.; Dapena, Adriana; Castro-Castro, Paula-María; Vázquez Araújo, Francisco Javier (MDPI AG, 2021-03-22)
      [Abstract] Human-Machine Interfaces (HMI) allow users to interact with different devices such as computers or home elements. A key part in HMI is the design of simple non-invasive interfaces to capture the signals associated ...

    • Study of Machine Learning Techniques for EEG Eye State Detection 

      Laport López, Francisco; Castro-Castro, Paula-María; Dapena, Adriana; Vázquez Araújo, Francisco Javier; Iglesia, Daniel I. (MDPI AG, 2020-08-31)
      [Abstract] A comparison of different machine learning techniques for eye state identification through Electroencephalography (EEG) signals is presented in this paper. (1) Background: We extend our previous work by studying ...