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This documentation is for astroML version 0.4

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Chapter 10: Time Series Analysis

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Chapter 10: Time Series Analysis¶

This chapter covers the analysis of both periodic and non-periodic time series, for both regularly and irregularly spaced data.

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Fourier Reconstruction of RR-Lyrae Templates¶

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Plot a Diagram explaining a Convolution¶

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The effect of Sampling¶

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The effect of Sampling¶

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Fast Fourier Transform Example¶

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fig_LIGO_power_spectrum.py¶

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Wavelet transform of Gaussian Noise¶

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Wavelet transform of a Noisy Spike¶

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Examples of Wavelets¶

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fig_wiener_filter.py¶

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Wiener Filter / kernel smooting Connection¶

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Minimum component fitting procedure¶

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Example of Minimum Component Filtering¶

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The effect of Sampling¶

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Example of Lomb-Scargle Algorithm¶

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Generalized vs Standard Lomb-Scargle¶

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Phased LINEAR Light Curve¶

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Lomb-Scargle Aliasing¶

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BIC for LINEAR light curve¶

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Clustering of LINEAR data¶

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Clustering of LINEAR data¶

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GMMBayes classification of LINEAR data¶

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SVM classification of LINEAR data¶

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Arrival Time Analysis¶

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Matched Filter Burst Search¶

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Matched Filter Chirp Search¶

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Matched Filter Chirp Search¶

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Chirp wavelet PSD¶

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Generating Power-law Light Curves¶

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Autocorrelation Function¶