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On discriminating sizes of CFD generated bubbles with signal processing analysis
(Elsevier, 2015)
The aim of this research work is to propose a signal processing based technique to classify and estimate
bubble sizes. Bubbles are generated by computational fluid dynamics simulations. Local measuring points
for velocity ...
In-process grinding monitoring through acoustic emission
(2006-01-01)
This work aims to investigate the efficiency of digital signal processing tools of acoustic emission signals in order to detect thermal damages in grinding processes. To accomplish such a goal, an experimental work was ...
In-process grinding monitoring through acoustic emission
(2006-01-01)
This work aims to investigate the efficiency of digital signal processing tools of acoustic emission signals in order to detect thermal damages in grinding processes. To accomplish such a goal, an experimental work was ...
First record of chemical signals from the queen during the oviposition process in stingless bees
(SPRINGER BASEL AGBASEL, 2013-08-02)
In stingless bees, the cell provisioning and oviposition process consists of several integrated behavioral sequences and several stereotyped queen-worker interactions. This study aims to demonstrate that chemical signals ...
EEG signal processing in brain–computer interface
(Elsevier, 2018)
A brain–computer interface (BCI) system employs the electrical signals of the brain of the user to control a device according to the user’s intentions. Thus, the brain activity patterns should be identified by the system ...
Precision of yule-walker methods for the arma spectral model
(2004-12-01)
In this work a new method is proposed of separated estimation for the ARMA spectral model based on the modified Yule-Walker equations and on the least squares method. The proposal of the new method consists of performing ...
Recovering Latent Signals from a Mixture of Measurements Using a Gaussian Process Prior
(IEEE, 2017)
In sensing applications, sensors cannot always mea-sure the latent quantity of interest at the required resolution, some-times they can only acquire a blurred version of it due the sensor’stransfer function. To recover ...
A Bayesian approach to convolutive nonnegative matrix factorization for blind speech dereverberation
(Elsevier Science, 2018-10)
When a signal is recorded in an enclosed room, it typically gets affected by reverberation. This degradation represents a problem when dealing with audio signals, particularly in the field of speech signal processing, such ...
A Signal Processing Method for Respiratory Rate Estimation through Photoplethysmography
(Sciencie &Engineering Research Support Society (SERSC), 2018-02)
Monitoring of respiration is crucial for determining a patient´s health status, specially
previously and after an operation. However, many conventional methods are difficult to
use in a spontaneously ventilating patient. ...