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Ph. Refregier

Publications -  8
Citations -  667

Ph. Refregier is an academic researcher. The author has contributed to research in topics: Spin glass & Relaxation (NMR). The author has an hindex of 6, co-authored 8 publications receiving 656 citations.

Papers
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Two‐beam coupling in photorefractive Bi12SiO20 crystals with moving grating: Theory and experiments

TL;DR: In this paper, the second-order term in the Fourier development of Esc was interpreted by including the second order term in a second order Fourier term in Fourier analysis of BSO crystals.
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Ageing phenomena in a spin-glass : effect of temperature changes below Tg

TL;DR: In this paper, the authors investigated the influence of temperature variations on the ageing processes in the spin-glass phase, in order to get a better insight into their mechanism. And they presented measurements of the low-frequency a.c. susceptibility (0.01 to 0.1 Hz) and of the relaxation of the thermo-remanent magnetization in the CdCr 1.7 In 0.3 S 4 insulating spinglass; they also analyzed de l'influence des variations de temperature sur le vieillissement dans la phase verre de
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Spin‐glass dynamics from magnetic noise, relaxation, and susceptibility measurements (invited)

TL;DR: In this paper, a quantitative comparison between dynamic measurements on spin glasses is presented, where the measured quantities are the relaxation of the thermoremanent magnetization MTRM(t) in the range of observation times 1-105 s, the out-of-phase susceptibility χ‘(ω), and the magnetic noise power spectrum M2(ω) between 10−2 and 103 Hz.
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Multicriteria optimal binary amplitude phase-only filters

TL;DR: Filters with binary amplitude that provide optimal trade-offs among three important criteria (i.e., noise robustness, correlation-peak sharpness, and Horner efficiency) and a method for optimizing the discrimination capabilities are presented.
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Application of the stabilizing functional approach to pattern-recognition filters

TL;DR: The application of a regularization technique to filter synthesis in pattern recognition with synthetic discriminant function filters is presented and the analogy between the regularization methods and optimal trade-off filters is shown.