Automated Information Processing Lab



BIO SKETCH

Neysha Marie Matos is an undergraduate Computer Engineering student. In the academic year of 2015 she formed part of the Undergraduate Student Research class in the University of Puerto Rico at Mayagüez with Dr. Domingo Rodríguez. There she assisted the on-going research of Virtual Instrumentation for Real Time System Monitoring focusing on building a real-time testbed environment, integrating the TMS320C6713 DSP and the i945GTt-VFA computing unit. In January 2017 she was accepted into a cooperative internship at Eli Lilly and Co. in Carolina Puerto Rico. There she worked as an IT-Specialist giving technical support to over 32 internal servers worldwide. Over the last academic year, she returned to do research at the University of Puerto Rico. Currently, she's assisting in researching Digital Signal Processing Emulation Framework for Underwater Acoustic Channel Characterization. She wants to graduate with a specialty in Digital Signal Processing.



RESEARCH

  • Digital Signal Processing Emulation Framework for Underwater Acoustic Channel Characterization.

  • Our main objective in this research work is to compare the predicted modeling and simulation results for underwater acoustic communication channel with actual underwater acoustics measured raw data acquired at the Jobos Bay Natural Estuarine Research Reserve. When we model a channel and send a signal though the transmitter processor, we want to observe and study how the received signal is affected by the communication channel. Our first DSP emulation testbed experiment consists of designing and transmitting artificial waveforms that are sent through our second DSP processor, conditioned to emulate real physical conditions of an underwater acoustic communication channel. The received waveforms are then analyzed to detect any changes in attributes experienced by the waveforms after passing through the channel. We will be conducting a second experiment where the same waveforms are being sent through an underwater acoustic channel at JBNERR using an acoustic sound actuator. We will be using a hydrophone to receive the acoustic waveform sent through the channel and an embedded computing unit to record preprocess the measured raw data. With this work we expect to contribute to the understanding of underwater acoustic channels. In particular, we will obtained concrete and valuable information about specific underwater acoustic communication channels in Puerto Rico. We will try to successfully characterize signals and identify and estimate changes in the received signal’s attributes, both, in real time using the DSP floating-point testbed, and with batch signal processing techniques, utilizing the Linux-based server located at the University of Puerto Rico Mayaguez, UPRM’s Terascale facility.



PUBLICATION

  • Industrial Affiliates Program Poster Presentation 2015 at University of Puerto Rico, Mayagüez Campus.

  • Industrial Affiliates Program Poster Presentation 2016 at University of Puerto Rico, Mayagüez Campus.

  • Great Minds in STEM, 2016 29th Annual HENAAC Conference Research Poster Competition at Anaheim California.



LINKS