Add to ORKGSpectral matching ICA (SMICA) is a source separation method based on covariance matching in Fourier space that was designed to address in a flexible way some of the general problems raised by Cosmic Microwave Background data analysis. However, a common issue in astronomical data analysis is that the observations are unevenly sampled or incomplete maps with missing patches or intentionally masked parts. In addition, many astrophysical emissions are not well modeled as stationary processes over the sky. These effects impair data processing techniques in the spherical harmonics representation. This paper describes a new wavelet transform for spherical maps and proposes an extension of SMICA in this space-scale representation
Many fields in science and engineering measure data that inherently live on non-Euclidean geometries...
Large data-sets defined on the sphere arise in many fields. In particular, recent and forthcoming ob...
We present a new, fast, algorithm for the separation of astrophysical components superposed in maps ...
Spectral matching ICA (SMICA) is a source separation method based on covariance matching in Fourier ...
It is a recurrent issue in astronomical data analysis that observations are unevenly sampled or inco...
It is a recurrent issue in astronomical data analysis that observations are incomplete maps with mis...
Wavelets on the sphere are reintroduced and further developed independently of the original group th...
The cosmic microwave background (CMB) is a relic radiation of the Big Bang and as such it contains a...
We consider wavelets as a tool to perform a variety of tasks in the context of analyzing cosmic micr...
The cosmic microwave background (CMB) is a relic radiation of the Big Bang and as such it contains a...
We present in this paper new multiscale transforms on the sphere, namely the isotropic undecimated w...
International audienceObservations of the Cosmic Microwave Background (CMB) provide increasingly acc...
A new formalism is derived for the analysis and exact reconstruction of band-limited signals on the ...
This work presents the construction of a novel spherical wavelet basis designed for incomplete spher...
We present in this paper new multiscale transforms on the sphere, namely the isotropic undecimated w...
Many fields in science and engineering measure data that inherently live on non-Euclidean geometries...
Large data-sets defined on the sphere arise in many fields. In particular, recent and forthcoming ob...
We present a new, fast, algorithm for the separation of astrophysical components superposed in maps ...
Spectral matching ICA (SMICA) is a source separation method based on covariance matching in Fourier ...
It is a recurrent issue in astronomical data analysis that observations are unevenly sampled or inco...
It is a recurrent issue in astronomical data analysis that observations are incomplete maps with mis...
Wavelets on the sphere are reintroduced and further developed independently of the original group th...
The cosmic microwave background (CMB) is a relic radiation of the Big Bang and as such it contains a...
We consider wavelets as a tool to perform a variety of tasks in the context of analyzing cosmic micr...
The cosmic microwave background (CMB) is a relic radiation of the Big Bang and as such it contains a...
We present in this paper new multiscale transforms on the sphere, namely the isotropic undecimated w...
International audienceObservations of the Cosmic Microwave Background (CMB) provide increasingly acc...
A new formalism is derived for the analysis and exact reconstruction of band-limited signals on the ...
This work presents the construction of a novel spherical wavelet basis designed for incomplete spher...
We present in this paper new multiscale transforms on the sphere, namely the isotropic undecimated w...
Many fields in science and engineering measure data that inherently live on non-Euclidean geometries...
Large data-sets defined on the sphere arise in many fields. In particular, recent and forthcoming ob...
We present a new, fast, algorithm for the separation of astrophysical components superposed in maps ...