Blind source separation and analysis of multispectral astronomical images
By D. Nuzillard, A. Bijaoui. 2000
80 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
- Tsung-Han Chan
- Bernhard Schölkopf
- Arash Mehrjou
- Luigi Gresele
- Chong-Yung Chi
- Paul K. Rubenstein
- Francesco Locatello
- Yi Luo
In Signal Processing
- Francesco Locatello
- Bernhard Schölkopf
- Tsung-Han Chan
- Yue Joseph Wang
- Arash Mehrjou
- Fa-Yu Wang
- Luigi Gresele
- Chong-Yung Chi
Citations in the corpus
- The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA (2019, background): “Its applications are ubiquitous, including neuroimaging [28], signal processing [34], text mining [17], astronomy [31] and financial time series analysis [32].”
- Multidetector multicomponent spectral matching and applications for cosmic microwave background data analysis (2002, background): “Other reports of blind component separation in astronomical data include Nuzillard & Bijaoui (2000) and Funaro et al. (2001).”
- Nonnegative Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization (2010, background): “Other examples include remote sensing [1], astronomical imaging [9], analytical spectroscopy [10], and telecommunications [11].”