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Journal Article

Spectral Analysis and Time Series

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TLDR
In this article, the authors introduce the concept of Stationary Random Processes and Spectral Analysis in the Time Domain and Frequency Domain, and present an analysis of Processes with Mixed Spectra.
Abstract
Preface. Preface to Volume 2. Contents of Volume 2. List of Main Notation. Basic Concepts. Elements of Probability Theory. Stationary Random Processes. Spectral Analysis. Estimation in the Time Domain. Estimation in the Frequency Domain. Spectral Analysis in Practice. Analysis of Processes with Mixed Spectra.

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Nonlocal Monte Carlo algorithm for self-avoiding walks with fixed endpoints

TL;DR: In this article, a hybrid of local and non-local BFACF is proposed to generate self-avoiding walks with variable length and fixed endpoints, and the critical slowing-down, measured in units of computer time, is reduced.
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The Energy-dependent X-Ray Timing Characteristics of the Narrow-Line Seyfert 1 Mrk 766

TL;DR: In this paper, the energy-dependent power spectral density (PSD) and cross-spectral properties of Mkn 766 were obtained from combining data obtained during an XMM-Newton observation spanning six revolutions in 2005 with data obtained from a long-look in 2001, and the resulting PSD has the highest temporal frequency resolution for any AGN PSD measured to date.
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The estimation of fluid flow properties from the response of water levels in wells to the combined atmospheric and Earth tide forces

TL;DR: In this article, the spectral method is used to analytically derive a model for well response to both random and periodic components of the combined Earth tide and atmospheric pressure variation (CSA).
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Modeling ambient air temperature time series using neural networks

TL;DR: In this paper, a neural network approach is used to analyze and model the ambient air temperature time series, which can be very useful in Meteorology, atmospheric sciences, and in energy applications such as the control of conventional and passive cooling systems in order to achieve thermal comfort inside buildings.
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Smoothed nonparametric spectral estimation via cepsturm thresholding - Introduction of a method for smoothed nonparametric spectral estimation

TL;DR: A number of results on the cepstrum of a stationary signal are discussed, which might also be of interest to researchers in spectral analysis and allied topics, such as speech processing.
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