The degradation of the speech signal due to adverse conditions generates low accuracy rates in speech recognition systems. The authors propose mixing two m...

• Christian Dayan Arcos
• Marco Antonio Grivet
• Abraham Alcaim

• Signal
• degradation
• enhancement
• compensation
• attributes

SBrT 2013

Data compression will be extremely necessary in order to solve the problem of large data volume generated by smart meters. The aim of this work, is to inves...

• A. Carolina Flores
• G. Fraidenraich

• Smart Grid
• Smart Meter
• data compression
• entropy.

SBrT 2013

In this paper, the problem of device identification based on sensor noise pattern in open scenarios is addressed. This context is common in practice and qu...

• Hermeson Barbosa da Costa
• Ronaldo de Freitas Zampolo
• Adalbery Rodrigues Castro
• Eurípedes Pinheiro dos Santos
• Diego Marques do Carmo

• Device identification
• sensor noise pattern
• extreme learning machine
• repeated double cross validation
• artificial neural networks

SBrT 2013

This work presents a monitoring software responsible for processing, persistence and visualization of the data obtained from monitoring realized through op...

• M. F. M. Silva
• A. D. F. Santos

• InterAB
• Web application
• Optical sensor networks

SBrT 2013

Most of studies in cognitive radio have considered that the transmission of secondary users is not allowed within the sensed band during the sensing period. ...

• Renato Sales Bizerra
• Gustavo Fernandes de Carvalho
• Adoniran Judson de Barros Braga

• Cognitive Radio
• spectrum sensing
• energy detector

SBrT 2013