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De Fourier a wavelets : un breve recorrido por el análisis tiempo-frecuencia
(2020)
Un pequeño tour por el análisis de Fourier. Definimos a la transformada continua de Fourier, presentamos y estudiamos los resultados principales de la serie de Fourier y de la transformada de Fourier discreta. Analizamos ...
On the use of short-time fourier transform and synchrosqueezing-based demodulation for the retrieval of the modes of multicomponent signals
(Elsevier Science, 2021-01)
In this paper, our goal is to compare different recent time-frequency (TF) approaches to retrieve the modes of multicomponent signals (MCSs). While it is acknowledged that the synchrosqueezing transform (SST) improves the ...
Robust voice activity detection algorithm using spectrum estimation and dynamic thresholding
(IEEE Computer Society, 2009)
An algorithm for voice activity detection (VAD) is presented in this paper, it uses the classical short time fourier transform (STFT) followed by dynamic thresholding over the noise floor which allows accurate determination ...
Transformada corta de Fourier
(Pereira : Universidad Tecnológica de PereiraFacultad de Ciencias Básicas, 2011)
A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer
(2019-09-11)
Innovative monitoring systems based on sensor signals have emerged in recent years in view of their potential for diagnosing machining process conditions. In this context, preliminary applications of fast-response and ...
A comparative study of two indirect methods to monitor surface integrity of ground components
(Sage Publications Ltd, 2020-02-03)
One of the major challenges in grinding is to conciliate the material removal rate with components free from damages. Due to the poor thermal conductivity of conventional grinding wheels, most of the heat generated during ...
An efficient short-time Fourier transform algorithm for grinding wheel condition monitoring through acoustic emission
(2021-03-01)
Indirect methods to monitor the surface integrity of grinding wheels by acoustic emission (AE) have been proposed, aiming to ensure their optimal performance. However, the time-frequency analysis of the content of these ...
Eye-Tracking Signals Based Affective Classification Employing Deep Gradient Convolutional Neural Networks
Utilizing biomedical signals as a basis to calculate the human affective states is an essential issue of affective computing (AC). With the in-depth research on affective signals, the combination of multi-model cognition ...