Showing 121 - 140 results of 710 for search '"matrix theory"', query time: 0.20s Refine Results
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    Eigenvalue-based Detection Techniques Using Finite Dimensional Complex Random Matrix Theory: A Review by Ayse Kortun

    Published 2018-06-01
    “…Therefore, another appealing side of eigenvalue based primary user detection algorithms is the fact that they are totally immune to uncertain noise levels so they are called robust detectors. Random matrix theory (RMT) is a useful tool which is applicable across a large number of fields and in the last decade, a considerable applications in signal detection has emerged. …”
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  8. 128

    Massive-scale gene co-expression network construction and robustness testing using random matrix theory. by Scott M Gibson, Stephen P Ficklin, Sven Isaacson, Feng Luo, Frank A Feltus, Melissa C Smith

    Published 2013-01-01
    “…A knowledge-independent thresholding technique, such as Random Matrix Theory (RMT), is useful for identifying meaningful relationships. …”
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    Random Matrix Theory Analysis of a Temperature-Related Transformation in Statistics of Fano–Feshbach Resonances in Thulium Atoms by Emil T. Davletov, Vladislav V. Tsyganok, Vladimir A. Khlebnikov, Daniil A. Pershin, Alexey V. Akimov

    Published 2020-12-01
    “…We performed random matrix theory simulations of such spectra and analyzed the resulting statistics in an attempt to understand the mechanism of the transformation. …”
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  14. 134

    Study of Electrical Properties of Nano TiO2 Coatings Based on the Characteristic Matrix Theory and the Brus Model by Sarah A. Hijab, Saeed N. Turki Al-Rashid

    Published 2022-06-01
    “…The program depends on the Characteristic Matrix Theory and The Brus Model. …”
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  15. 135

    Learning rates as a function of batch size: a random matrix theory approach to neural network training by Granziol, D, Zohren, S, Roberts, S

    Published 2022
    “…We study the effect of mini-batching on the loss landscape of deep neural networks using spiked, field-dependent random matrix theory. We demonstrate that the magnitude of the extremal values of the batch Hessian are larger than those of the empirical Hessian. …”
    Journal article
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    Application of unfolding transformation in the random matrix theory to analyze in vivo neuronal spike firing during awake and anesthetized conditions by Risako Kato, Masanori Yamanaka, Masayuki Kobayashi

    Published 2018-03-01
    “…To overcome this problem, we developed a method utilizing the unfolding transformation which analyzes the energy level statistics in the random matrix theory. We regarded the energy axis as time axis of neuron spike and analyzed the time series of cortical neural firing in vivo. …”
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  17. 137

    Monte Carlo simulation of transfer reactions using extended R-matrix theory picturing surrogate-type WFCF features by Bouland Olivier H.

    Published 2016-01-01
    “…Our proposal is to handle the various difficulties by using a more rigorous approach relying on Monte Carlo simulation of transfer reactions with extended R-matrix theory. The multiple deficiencies of the historical surrogate treatment are recalled but only one is examined in some details here; meaning the calculation of in-out-going channel Width Fluctuation Correction Factors (WFCF) which behavior witness partly the failure of Niels Bohr’s compound nucleus theoretical landmark. …”
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