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Gabriel Falcão

7 accepted papers

2020

1.5GBIT/S 4.9W Hyperspectral Image Encoders on a Low-Power Parallel Heterogeneous Processing Platform

ICASSP 2020accepted

This work explores the utilization of low-power heterogeneous devices for parallelizing the compute-intensive hyper-spectral and multispectral image compression CCSDS-123 entropy encoders. Multithread processing allows for the near-optimal system's bandwidth to be exploited increasing the system ove…

Cited by 0SourceScholar
2020

Enhancing the Labelling of Audio Samples for Automatic Instrument Classification Based on Neural Networks

ICASSP 2020accepted

The polyphonic OpenMIC-2018 dataset is based on weak and incomplete labels. The automatic classification of sound events, based on the VGGish bottleneck layer as proposed before by the AudioSet, implies the classification of only one second at a time, making it hard to find the label of that exact m…

Cited by 0SourceScholar
2019

Enhancing Beamformed Fingerprint Outdoor Positioning with Hierarchical Convolutional Neural Networks

ICASSP 2019accepted

With 5G millimeter wave communications, the resulting radiation reflects on most visible objects, creating rich multipath environments. The radiation is thus significantly shaped by the obstacles it interacts with, carrying latent information regarding the relative positions of the transmitter, the…

Cited by 0SourceScholar
2015

Accelerating and deceleratingmin-sum-based gear-shift LDPC decoders

ICASSP 2015accepted

Low-Density Parity-Check (LDPC) decoders typically implement a single decoding algorithm or update rule, which narrows down the design space of the decoder and maintains its overall simplicity. However, gear-shift techniques combine multiple decoding algorithms, update rules and quantization of the…

Cited by 0SourceScholar
2015

Distributed dense stereo matching for 3D reconstruction using parallel-based processing advantages

ICASSP 2015accepted

Instead of measuring photo-similarity, SymStereo is a stereo vision algorithm that uses new cost functions to measure symmetry differences between pairs of images. In this paper we propose the acceleration of a complete signal processing pipeline for generating 3D volumes based on dense SymStereo. T…

Cited by 0SourceScholar