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Harmonics filtering and detection of disturbances using wavelets
(1999-12-01)
Traditional mathematical tools, like Fourier Analysis, have proven to be efficient when analyzing steady-state distortions; however, the growing utilization of electronically controlled loads and the generation of a new ...
Pitch detection algorithms based on zero-cross rate and autocorrelation function for musical notes
(2008-09-22)
This paper discusses two pitch detection algorithms (PDA) for simple audio signals which are based on zero-cross rate (ZCR) and autocorrelation function (ACF). As it is well known, pitch detection methods based on ZCR and ...
Pitch detection algorithms based on zero-cross rate and autocorrelation function for musical notes
(2008-09-22)
This paper discusses two pitch detection algorithms (PDA) for simple audio signals which are based on zero-cross rate (ZCR) and autocorrelation function (ACF). As it is well known, pitch detection methods based on ZCR and ...
Feature extraction in pressure signals for leak detection in water networks
(2014)
Techniques based on signal analysis for leak detection in water supply systems typically use long pressure and/or flow data series of variable length. This paper presents the feature extraction from pressure signals and ...
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 ...
Harmonics filtering and detection of disturbances using wavelets
(1999-12-01)
Traditional mathematical tools, like Fourier Analysis, have proven to be efficient when analyzing steady-state distortions; however, the growing utilization of electronically controlled loads and the generation of a new ...
A SIMPLE FEATURE REDUCTION METHOD FOR THE DETECTION OF LONG BIOLOGICAL SIGNALS
(SPRINGER BERLIN / HEIDELBERG, 2005)
Recent advances in digital processing of biological signals have made it possible to incorporate more extensive signals, generating a large number of features that must be analyzed to carry out the detection, and thereby ...