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Yves F. Meyer (French: ; born 19 July 1939) is a French mathematician. He is among the progenitors of wavelet theory, having proposed the Meyer wavelet. Meyer was awarded the Abel Prize in 2017.
The analysis highlights Works and Science as prominent areas in the source structure around Yves Meyer.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Yves Meyer shows recurring relationship patterns in the source. For example, Yves Meyer → Arts, Born, Cachan, Centre, CNRS, Concours Général, Conservatoire National, Ecole Normale Supérieure, French General Student Competition, He, Jean Meyer, Jean-Pierre Kahane, Jewish, Lycée Carnot, Mathematics, Métiers, Normale Supérieure, Paris, Ph, Polytechnique Another extracted example is Yves Meyer → Abel Prize, Académie, American Mathematical Society, Asturias Award, Carl Friedrich Gauss Prize, He, ICM, In, Invited Speaker, Kyoto, Meyer, Nice, Princess, Sciences, Scientific Research, Technical, Warsaw. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
meyer yves prize isbn wavelet french theory awarded de born wavelets abel 2017 oclc paris mathematics references école normale supérieure
TTTA extracted 57 structured relationships around Yves Meyer. Examples in this analysis include Yves Meyer → Born → (1939-07-19) 19 July 1939 (age 87) Paris, France and Yves Meyer → Doctoral advisor → Jean-Pierre Kahane. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Yves Meyer | Born | (1939-07-19) 19 July 1939 (age 87) Paris, France | 1.00 | infobox |
| Yves Meyer | Doctoral advisor | Jean-Pierre Kahane | 1.00 | infobox |
| Yves Meyer | Doctoral students | Pascal Auscher | 1.00 | infobox |
| Yves Meyer | Doctoral students | Aline Bonami | 1.00 | infobox |
| Yves Meyer | Doctoral students | Albert Cohen | 1.00 | infobox |
| Yves Meyer | Education | École Normale Supérieure (BS) University of Strasbourg (MS, PhD) | 1.00 | infobox |
| Yves Meyer | Fields | Mathematics | 1.00 | infobox |
| Yves Meyer | Known for | Multiresolution analysis Harmonious set Meyer set Meyer wavelet | 1.00 | infobox |
| Yves Meyer | Thesis | Idéaux Fermés de L1 dans Lesquels une Suite Approche l'Identité (1966) | 1.00 | infobox |
| Yves Meyer | related to Awards and recognitions | He | 0.60 | section |
| Yves Meyer | related to Awards and recognitions | Académie | 0.60 | section |
| Yves Meyer | related to Awards and recognitions | Sciences | 0.60 | section |
The concept neighborhoods around Yves Meyer bring nearby vocabulary together. In this analysis, examples include Yves, Prize and Strasbourg. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Yves Meyer, one of the stronger structural bridges in this analysis connects Yves Meyer with Biography. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Yves Meyer to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Yves Meyer · EN edition · Analysis: TopicsToTalkAbout