Add to ORKGAbstract The classical power spectrum, computed in the frequency domain, outranks traditionally used periodograms derived in the time domain (such as the χ 2 periodogram) regarding the search for biological rhythms. Unfortunately, classical power spectral analysis is not possible with unequally spaced data (e.g., time series with missing data). The Lomb-Scargle periodogram fixes this shortcoming. However, peak detection in the Lomb-Scargle periodogram of unequally spaced data requires some careful consideration. To guide researchers in the proper evaluation of detected peaks, therefore, a novel procedure and a computer program have recently become available. It is recommended that the Lomb-Scargle periodogram be the default method of period...
Copyright © 2013 Kwadwo S. Agyepong et al. This is an open access article distributed under the Crea...
Abstract — Due to non-stationary multicomponent nature of the electrocardiogram (ECG) signal, its an...
A key step in the analysis of circadian data is to make an accurate estimate of the underlying perio...
Abstract The classical power spectrum, computed in the frequency domain, outranks traditionally used...
The Lomb-Scargle periodogram was introduced in astrophysics to detect sinusoidal signals in noisy un...
Standard methods of estimating the power spectral density (PSD) of irregularly sampled signals such ...
Detecting periodic patterns in unevenly spaced gene expression time series using Lomb–Scargle period...
The Lomb-Scargle periodogram approach was applied to the search for periodically expressed genes in ...
The Lomb-Scargle periodogram is a common tool in the frequency analysis of unequally spaced data equ...
The Lomb periodogram is a method for the spectral analysis of randomly sampled data. For this proper...
Heart Rate Variability (HRV) is one of the reliable quantitative markers of the Automatic Nervous Sy...
In [1], Lomb developed a nonlinear regression approach to estimating the frequency of a noisy sinuso...
The periodogram is a popular tool that tests whether a signal consists only of noise or if it also i...
Short-term cardiovascular compensatory responses to perturbations in the circulatory system caused b...
The Lomb-Scargle periodogram is a common tool in the frequency analysis of unequally spaced data equ...
Copyright © 2013 Kwadwo S. Agyepong et al. This is an open access article distributed under the Crea...
Abstract — Due to non-stationary multicomponent nature of the electrocardiogram (ECG) signal, its an...
A key step in the analysis of circadian data is to make an accurate estimate of the underlying perio...
Abstract The classical power spectrum, computed in the frequency domain, outranks traditionally used...
The Lomb-Scargle periodogram was introduced in astrophysics to detect sinusoidal signals in noisy un...
Standard methods of estimating the power spectral density (PSD) of irregularly sampled signals such ...
Detecting periodic patterns in unevenly spaced gene expression time series using Lomb–Scargle period...
The Lomb-Scargle periodogram approach was applied to the search for periodically expressed genes in ...
The Lomb-Scargle periodogram is a common tool in the frequency analysis of unequally spaced data equ...
The Lomb periodogram is a method for the spectral analysis of randomly sampled data. For this proper...
Heart Rate Variability (HRV) is one of the reliable quantitative markers of the Automatic Nervous Sy...
In [1], Lomb developed a nonlinear regression approach to estimating the frequency of a noisy sinuso...
The periodogram is a popular tool that tests whether a signal consists only of noise or if it also i...
Short-term cardiovascular compensatory responses to perturbations in the circulatory system caused b...
The Lomb-Scargle periodogram is a common tool in the frequency analysis of unequally spaced data equ...
Copyright © 2013 Kwadwo S. Agyepong et al. This is an open access article distributed under the Crea...
Abstract — Due to non-stationary multicomponent nature of the electrocardiogram (ECG) signal, its an...
A key step in the analysis of circadian data is to make an accurate estimate of the underlying perio...