Skip to search formSkip to main contentSkip to account menu

Least-squares spectral analysis

Known as: Gauss-Vanicek spectrum, Vaníček spectral analysis, Vanícek method 
Least-squares spectral analysis (LSSA) is a method of estimating a frequency spectrum, based on a least squares fit of sinusoids to data samples… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
The Lomb–Scargle periodogram is a well-known algorithm for detecting and characterizing periodic signals in unevenly sampled data… 
Highly Cited
2013
Highly Cited
2013
We present rotation periods for thousands of active stars in the Kepler field derived from Q3 data. In most cases a second period… 
Review
2012
Review
2012
We explore the newly discovered "hangup-kick" effect, which greatly amplifies the recoil for configuration with partial spin… 
Highly Cited
2012
Highly Cited
2012
The resolution of single-shot coherent diffractive imaging at X-ray free-electron laser facilities is limited by the low signal… 
Highly Cited
2011
Highly Cited
2011
Abstract. Geoscientific measurements often provide time series with irregular time sampling, requiring either data reconstruction… 
Highly Cited
2009
Highly Cited
2009
We begin by revisiting the periodogram to explain why arguably the plain least-squares periodogram (LSP) is preferable to the… 
Review
2006
Review
2006
We measure the large-scale real-space power spectrum P(k) using luminous red galaxies (LRGs) in the Sloan Digital Sky Survey… 
Review
1999
Review
1999
In this paper, we give a brief review of the theory of spectral analysis of large dimensional random matrices. Most of the… 
Highly Cited
1976
Highly Cited
1976
The statistical properties of least-squares frequency analysis of unequally spaced data are examined. It is shown that, in the…