Items where Author is "Demoment, G."
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Author
Demoment, G., & Goussard, Y. (2001). Inversion dans un cadre probabiliste. In Idier, J. (ed.), Approche Bayésienne pour les problèmes inverses (pp. 59-77). External link
Fortier, N., Demoment, G., & Goussard, Y. (1990, April). Implementation and practical comparison of two estimators of the smoothing parameter in linear image restoration [Paper]. International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1990), Albuquerque, NM, USA. External link
Goussard, Y., Demoment, G., & Idier, J. (1990, April). A new algorithm for iterative deconvolution of sparse spike trains [Paper]. International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1990), Albuquerque, NM, USA. External link
Goussard, Y., Demoment, G., & Monfront, F. (1990). Maximum a posteriori detection-estimation of Bernoulli-Gaussian processes. In McWhirter, J. G. (ed.), Mathematics in Signal Processing II : based on the proceedings of a conference organized by the Institute of Mathematics and its Applications on mathematics in signal processing held at the University of Warwick in December 1988 (pp. 121-138). Unavailable
Fortier, N., Goussard, Y., & Demoment, G. (1989, September). Determination of the appropriate degree of smoothing in linear image restoration: a comparison [Paper]. 6th Multidimensional Signal Processing Workshop, Pacific Grove, CA, USA (1 page). External link
Goussard, Y., & Demoment, G. (1989). Recursive deconvolution of Bernoulli-Gaussian processes using a MA representation. IEEE Transactions on Geoscience and Remote Sensing, 27(4), 384-394. External link