With the advent of the digital computer, time series analysis has gained wide attention and is
being applied to many fields of science. This paper reviews many traditional and recent …

Abstract Study area Iran. Study focus Iran, once a pioneer of sustainable water
management, is currently facing water bankruptcy. Aggressive exhaustion of non-renewable …

In this paper, the mathematical derivation of the underlying probability distribution function
for the normalized least-squares wavelet spectrogram is presented. The impact of empirical …

Global navigation satellite system (GNSS) multipath reflectometry (MR) has emerged as a
new technique that uses signals of opportunity broadcast by GNSS satellites and tracked by …

This paper describes a simple method for characterizing global-scale waves in the
mesosphere and lower thermosphere (MLT), such as tides and traveling planetary waves …

The least-squares spectral analysis method is reviewed, with emphasis on its remarkable
property to accept time series with an associated, fully populated covariance matrix. Two …

The least-squares wavelet analysis, an alternative to the classical wavelet analysis, was
introduced in order to analyze unequally spaced and non-stationary time series exhibiting …

Least-squares spectral analysis, an alternative to the classical Fourier transform, is a method
of analyzing unequally spaced and non-stationary time series in their first and second …

Abstract Global Positioning System (GPS) signal-to-noise ratio (SNR) measurements can be
employed to retrieve environmental variables in multipath reception conditions, whereby …

We examine the effect of varying the temperature points on MEMS inertial sensors' noise
models using Allan variance and least-squares spectral analysis (LSSA). Allan variance is a …