Optimal Design of FIR Triplet Halfband Filter Bank and Application in Image Coding

This correspondence proposes an efficient semidefinite programming (SDP) method for the design of a class of linear phase finite impulse response triplet halfband filter banks whose filters have optimal frequency selectivity for a prescribed regularity order. The design problem is formulated as the...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 20; H. 2; S. 586 - 591
Hauptverfasser:	Kha, H H, Tuan, H D, Nguyen, T Q
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.02.2011 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Design methodology Detection, estimation, filtering, equalization, prediction Errors Exact sciences and technology Filter bank Filter banks Finite impulse response filter Frequency Image coding Image processing Image reconstruction Impulse response Information, signal and communications theory Least squares method Least squares methods Linear programming Mathematical analysis Nonlinear filters Optimization perfect reconstruction Polynomials Regularity semi definite programming (SDP) Signal and communications theory Signal processing Signal, noise Telecommunications and information theory triplet halfband filter bank Performance evaluation Image processing perfect reconstruction Linear phase Programming regularity Optimal design semi-definite programming (SDP) Image coding Digital filter Frequency selection Least squares method Linear matrix inequality Finite impulse response filter Filter bank triplet halfband filter bank
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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