{"status":"public","type":"journal_article","publication_identifier":{"issn":["0021-9991"]},"article_type":"original","month":"01","volume":305,"publication":"Journal of Computational Physics","year":"2016","oa_version":"None","page":"244-262","citation":{"ista":"Lombardini R, Acevedo R, Kuczala A, Keys KP, Goodrich CP, Johnson BR. 2016. Higher-order wavelet reconstruction/differentiation filters and Gibbs phenomena. Journal of Computational Physics. 305, 244–262.","ama":"Lombardini R, Acevedo R, Kuczala A, Keys KP, Goodrich CP, Johnson BR. Higher-order wavelet reconstruction/differentiation filters and Gibbs phenomena. Journal of Computational Physics. 2016;305:244-262. doi:10.1016/j.jcp.2015.10.035","mla":"Lombardini, Richard, et al. “Higher-Order Wavelet Reconstruction/Differentiation Filters and Gibbs Phenomena.” Journal of Computational Physics, vol. 305, Elsevier, 2016, pp. 244–62, doi:10.1016/j.jcp.2015.10.035.","ieee":"R. Lombardini, R. Acevedo, A. Kuczala, K. P. Keys, C. P. Goodrich, and B. R. Johnson, “Higher-order wavelet reconstruction/differentiation filters and Gibbs phenomena,” Journal of Computational Physics, vol. 305. Elsevier, pp. 244–262, 2016.","short":"R. Lombardini, R. Acevedo, A. Kuczala, K.P. Keys, C.P. Goodrich, B.R. Johnson, Journal of Computational Physics 305 (2016) 244–262.","chicago":"Lombardini, Richard, Ramiro Acevedo, Alexander Kuczala, Kerry P. Keys, Carl Peter Goodrich, and Bruce R. Johnson. “Higher-Order Wavelet Reconstruction/Differentiation Filters and Gibbs Phenomena.” Journal of Computational Physics. Elsevier, 2016. https://doi.org/10.1016/j.jcp.2015.10.035.","apa":"Lombardini, R., Acevedo, R., Kuczala, A., Keys, K. P., Goodrich, C. P., & Johnson, B. R. (2016). Higher-order wavelet reconstruction/differentiation filters and Gibbs phenomena. Journal of Computational Physics. Elsevier. https://doi.org/10.1016/j.jcp.2015.10.035"},"date_created":"2020-04-30T11:40:41Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","language":[{"iso":"eng"}],"date_published":"2016-01-15T00:00:00Z","title":"Higher-order wavelet reconstruction/differentiation filters and Gibbs phenomena","intvolume":" 305","publisher":"Elsevier","doi":"10.1016/j.jcp.2015.10.035","article_processing_charge":"No","day":"15","publication_status":"published","author":[{"last_name":"Lombardini","first_name":"Richard","full_name":"Lombardini, Richard"},{"last_name":"Acevedo","first_name":"Ramiro","full_name":"Acevedo, Ramiro"},{"first_name":"Alexander","full_name":"Kuczala, Alexander","last_name":"Kuczala"},{"last_name":"Keys","full_name":"Keys, Kerry P.","first_name":"Kerry P."},{"full_name":"Goodrich, Carl Peter","first_name":"Carl Peter","id":"EB352CD2-F68A-11E9-89C5-A432E6697425","last_name":"Goodrich","orcid":"0000-0002-1307-5074"},{"last_name":"Johnson","full_name":"Johnson, Bruce R.","first_name":"Bruce R."}],"date_updated":"2021-01-12T08:15:22Z","extern":"1","_id":"7763","abstract":[{"lang":"eng","text":"An orthogonal wavelet basis is characterized by its approximation order, which relates to the ability of the basis to represent general smooth functions on a given scale. It is known, though perhaps not widely known, that there are ways of exceeding the approximation order, i.e., achieving higher-order error in the discretized wavelet transform and its inverse. The focus here is on the development of a practical formulation to accomplish this first for 1D smooth functions, then for 1D functions with discontinuities and then for multidimensional (here 2D) functions with discontinuities. It is shown how to transcend both the wavelet approximation order and the 2D Gibbs phenomenon in representing electromagnetic fields at discontinuous dielectric interfaces that do not simply follow the wavelet-basis grid."}],"quality_controlled":"1"}