© 2015 ETRI Journal, Volume 37, Number 4, August 2015 http://dx.doi.org/10.4218/etrij.15.0114.1447 Heart sounds are the main obstacle in lung sound analysis. To tackle this obstacle, we propose a diagnosis algorithm that uses singular spectrum analysis (SSA) and frequency features of heart and lung sounds. In particular, we introduce a frequency coefficient that shows the frequency difference b...

Previous studies of GNSS-IR mainly focused on the legacy L1C signal; potential modernized signals (L2C and L5Q) has not yet been fully exploited. In this paper, we applied Multichannel Singular Spectrum Analysis (M-SSA) method to extract common interference patterns from different frequencies simultaneously. The three-frequency (L1C, L2C, signal-to-noise ratio (SNR) measurements a total 840 sat...

Detection and extraction of quasi-oscillatory dynamical modes from instrumental records of geophysical data became a useful tool in analysing variability of observed phenomena reflected in complex, multivariate geophysical signals. Using the extension of the Monte Carlo Singular System Analysis (MC SSA), based on evaluating and testing regularity of dynamics of the SSA modes against the colored...

Singular spectrum analysis (SSA) has been employed effectively for analyzing in the time-frequency domain of time series. It can collaborate with data-driven models (DDMs) such as Artificial Neural Networks (ANN) to set up a powerful tool mechanical fault diagnosis (MFD). However, take advantage SSA more MFD, quantifying optimal component threshold should be addressed. Also, exploit managed sys...

Using multi-scale ideas from wavelet analysis, we extend singular-spectrum analysis (SSA) to the study of nonstationary time series, including the case where intermittency gives rise to the divergence of their variance. The wavelet transform resembles a local Fourier transform within a finite moving window whose widthW , proportional to the major period of interest, is varied to explore a broad...

As one of the effective renewable energy sources, wind has received attention because it is sustainable energy. Accurate speed forecasting can pave way to goal development. However, current methods ignore temporal characteristics speed, which leads inaccurate results. In this paper, we propose a novel SSA-CCN-ATT model forecast speed. Specifically, singular spectrum analysis (SSA) first applied...

The purpose of this work was to evaluate the potential Singular Spectrum Analysis (SSA) and Fisher–Shannon method analyse NDVI MODIS time series capture estimate inner vegetation anomalies in forest covers. In particular, allows calculate two quantities, Fisher Information Measure (FIM) Shannon entropy power (SEP), which are used characterise complexity a terms organisation/disorder. Pilot site...