New trends in applied harmonic analy...
Aldroubi, Akram.

 

  • New trends in applied harmonic analysis[electronic resource] :sparse representations, compressed sensing, and multifractal analysis /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 515.2433
    書名/作者: New trends in applied harmonic analysis : sparse representations, compressed sensing, and multifractal analysis // edited by Akram Aldroubi ... [et al.].
    其他作者: Aldroubi, Akram.
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xxviii, 334 p. : : ill. (some col.), digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Harmonic analysis.
    標題: Mathematics.
    標題: Fourier Analysis.
    標題: Abstract Harmonic Analysis.
    標題: Signal, Image and Speech Processing.
    標題: Measure and Integration.
    標題: Mathematical Applications in Computer Science.
    ISBN: 9783319278735
    ISBN: 9783319278711
    內容註: Multifractal Analysis of Cantor-like Measures -- Multifractal Analysis and Wavelets -- An Introduction to Mandelbrot Cascades -- Lebesgue-type Inequalities for Greedy Approximation -- Results on Non-linear Approximation for Wavelet Bases in Weighted Function Spaces -- Consequences of the Marcus/Spielman/Srivastava Solution of the Kadison-Singer Problem -- Model Sets and New Versions pf Shannon Sampling Theorem -- Stylometry and Mathematical Study of Authorship -- Thoughts on Numerical and Conceptual Harmonic Analysis.
    摘要、提要註: This volume is a selection of written notes corresponding to courses taught at the CIMPA School: "New Trends in Applied Harmonic Analysis: Sparse Representations, Compressed Sensing and Multifractal Analysis". New interactions between harmonic analysis and signal and image processing have seen striking development in the last 10 years, and several technological deadlocks have been solved through the resolution of deep theoretical problems in harmonic analysis. New Trends in Applied Harmonic Analysis focuses on two particularly active areas that are representative of such advances: multifractal analysis, and sparse representation and compressed sensing. The contributions are written by leaders in these areas, and covers both theoretical aspects and applications. This work should prove useful not only to PhD students and postdocs in mathematics and signal and image processing, but also to researchers working in related topics.
    電子資源: http://dx.doi.org/10.1007/978-3-319-27873-5
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