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A discrete wavelet transform (DWT)‐based compression technique for the computation of Kirchhoff integrals in MR/FDTD
Author(s) -
Laisné Alexandre,
Gillard Raphaël,
Citerne Jacques,
Piton Gérard
Publication year - 2000
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/1098-2760(20001205)27:5<312::aid-mop8>3.0.co;2-4
Subject(s) - finite difference time domain method , computation , discrete wavelet transform , transformation (genetics) , algorithm , mathematics , wavelet , microwave , computer science , computational science , mathematical analysis , wavelet transform , physics , optics , artificial intelligence , telecommunications , biochemistry , chemistry , gene
The multiple‐region FDTD (MR/FDTD) has recently been introduced as an extension of the classical FDTD to multiple subregions within a problem domain. In MR/FDTD, the problem domain is broken down into several volumes interacting with each other by means of a near‐field to near‐field transformation. One of the available methods is the Kirchhoff integrals, a method that has been successfully applied to FDTD, but that suffers from a high demand for computation resources. In this paper, a new discrete wavelet transform (DWT)‐based compression technique for the computation of Kirchhoff integrals is presented that leads to important savings both in memory size and computation time, while combining excellent accuracy and ease of implementation. © 2000 John Wiley & Sons, Inc. Microwave Opt Technol Lett 27: 312–316, 2000.