Electrical EngineeringArtículos de Proyectos de Ingeniería Eléctricahttp://hdl.handle.net/20.500.12475/552024-03-29T13:27:52Z2024-03-29T13:27:52ZAntenna BeamformingRosado, Manuelhttp://hdl.handle.net/20.500.12475/14212022-07-26T16:43:23Z2021-01-01T00:00:00ZAntenna Beamforming
Rosado, Manuel
Beamforming is a versatile processing technique for transmitting or receiving of a desired signal on an array of antenna elements. This is an attempt to have a better result of antenna connection, then the latest version of beamforming. This performance beamforming is to simulate a large antenna that can be electrically steered using a set of smaller antennas. This is a better way of getting faster connection and sending more data faster. This project will include the observation angel, single isolated element, and hamming. With this project, the researcher will use MATLAB to show the results of implementing more sensors for beamforming and formulas to improve beamforming.
Key Terms ¾ Array, Beamforming, Mathlab, and MIMO.
Design Project Article for the Graduate Programs at Polytechnic University of Puerto Rico
2021-01-01T00:00:00ZParallel DFT Implementation and Benchmarking in Cluster ArchitectureVélez Rodríguez, Williamhttp://hdl.handle.net/20.500.12475/9552022-05-04T15:27:41Z2013-01-01T00:00:00ZParallel DFT Implementation and Benchmarking in Cluster Architecture
Vélez Rodríguez, William
For the execution of very large DFT
(Discrete Fourier Transform), where the
implementation size is limited by the memory
available in a single processor, it is still convenient
to use the larger memory afforded by the use of
cluster architectures. In this work we did different
parallel MATLAB implementations of a onedimensional DFT through a two-dimensional DFT,
which was coded using the row-column algorithm.
One version of the code has client-based pre and
post-processing stages. The cluster master node
was used as the client computer. Since the pre and
post-processing involves matrix transpositions,
which could pose memory limitations for large data
sets, we also did an implementation that distributes
the data directly from disc to the cluster cores. This
second approach allowed us to quadruple the
largest length signal that we could tackle in the
cluster architecture. Largest core memory in the
nodes should allow even larger increases in signal
size. We benchmarked both implementations and
did scalability studies using up to 64 cores.
Key Terms - FFT, Large Signals, Parallel
Processing, Row-Column Algorithm
Design Project Article for the Graduate Programs at Polytechnic University of Puerto Rico
2013-01-01T00:00:00ZImpact of Digital Signal Processing Systems on Coverage of Free Over the Air Digital TelevisionTorres Pérez, Osvaldohttp://hdl.handle.net/20.500.12475/9112022-02-24T10:04:10Z2012-01-01T00:00:00ZImpact of Digital Signal Processing Systems on Coverage of Free Over the Air Digital Television
Torres Pérez, Osvaldo
Abstract - Digital Signal Processing (DSP) Systems are playing an important Role in today’s
communications systems. In June 12, 2009 all analog television Broadcasting stations were
turned off in the United States, to remain on air with what we know today as: free over the air
digital television (DTV), using a combination of technologies with data processing and signal
processing that lead to a modulation scheme known as 8 levels of vestigial sideband (8VSB). This document will describe the steps in the implementation of 8VSB modulation and the impact on coverage of broadcast stations in Puerto Rico, using as a model real parameters of a local station WLII. The impact evaluation was based on establishing a difference between the transmitter coverage area before and after the DTV conversion and how DSP systems have supported this conversion.
Key Terms - ASI Asynchronous Serial Interface, ATSC Advanced Television System Committee, MPEG Motion Picture Experts Group, SMPTE Society of Motion Picture and Television Engineers
Design Project Article for the Graduate Programs at Polytechnic University of Puerto Rico
2012-01-01T00:00:00ZOpen Speech Command Translator System for Executing Positive, Negative, and Neutral DecisionsGarcía Bruckman, Oscarhttp://hdl.handle.net/20.500.12475/9102022-02-24T10:04:09Z2012-01-01T00:00:00ZOpen Speech Command Translator System for Executing Positive, Negative, and Neutral Decisions
García Bruckman, Oscar
Abstract - This research proposes a system that uses an open speech command and translates it into a Positive, Negative, or Neutral decision. An ordinary voice command targeted to an object is generally composed of two parts: the object identification, and the desired instruction to execute from it. Using this structure, several voice features could be analyzed such as pitch, intensity, formants, among other statistical characteristics to recognize if a pattern exists. For this research, the “object” segment was ideally converted to text using existing speech-to-text tools; on the other hand, the “instruction” segment was ideally processed by applying a Naïve Bayes Classifier to classify instructions as Positive, Negative, or Neutral with up to 72% accuracy. This idea could be used in external systems for people with special needs, among other yet unimagined applications.The system will enable improved natural interaction between humans and computers by using a basic but effective open communication.
Key Terms - Command, Decision, Language,Translator
Design Project Article for the Graduate Programs at Polytechnic University of Puerto Rico
2012-01-01T00:00:00Z