J. R. Higgins / R. L. Stens

Sampling Theory in Fourier and Signal Analysis

Herausgeber: Higgins, J R; Stens, R L

• Gebundenes Buch

Produktbeschreibung

The second in a two-volume series on signal analysis, this book draws on the foundations laid in the first volume to survey the diverse applications of sampling theory both within mathematics and in other areas of science. Many of the topics included are appearing for the first time in a book, and the book seeks to bring readers to the forefront of research. Topics include combinatorial analysis, number theory, neural networks, derivative sampling, wavelets, stochastic signals, random fields, and abstract harmonic analysis.

Produktdetails

• Verlag: Oxford University Press, USA
• Seitenzahl: 312
• Erscheinungstermin: 24. Februar 2000
• Englisch
• Abmessung: 234mm x 156mm x 21mm
• Gewicht: 612g
• ISBN-13: 9780198534969
• ISBN-10: 0198534965
• Artikelnr.: 22165351

Inhaltsangabe

* 1: Applications of sampling theory to combintorial analysis, Stirling
numbers, special functions and the Riemann zeta function
* 2: Sampling theory and the arithmetic Fourier transform
* 3: Derivative sampling - a paradigm example of multi-channel methods
* 4: Computational methods in linear prediction for band-limited
signals based on past samples
* 5: Interpolation and sampling theories, and linear ordinary boundary
value problems
* 6: Sampling by generalized kernels
* 7: Sampling theory and wavelets
* 8: Approximation by translates of a radial function
* 9: Almost sure sampling restoration of band-limited stochastic
signals
* 10: Abstract harmonic analysis and the sampling theorem