کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
561058 1451936 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Critically sampled graph filter banks with polynomial filters from regular domain filter banks
ترجمه فارسی عنوان
نمونه بانک های فیلتر انتقادی نمودار چند جمله ای با فیلتر از بانک های فیلتر دامنه عادی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


• We design filter banks for signal defined over bipartite graphs.
• Spectral filters are polynomials resulting in localization and efficient implementation.
• Technique is based on converting 1D regular domain filter banks.
• Perfect reconstruction is exactly preserved and spectral response shape is almost preserved.

Graph signal processing deals with the processing of signals defined on irregular domains and is an emerging area of research. Graph filter banks allow the wavelet transform to be extended for processing graph signals. Sakiyama and Tanaka (2015) [22] recently proposed a technique to convert linear-phase biorthogonal filter banks for regular domain signals to biorthogonal graph filter banks. Perfect reconstruction is preserved using the technique but the resulting spectral filter functions are transcendental and not polynomial. Polynomial function filters are desired for the localization property and implementation efficiency. In this work we present alternative techniques to perform the conversion. Perfect reconstruction is preserved with the proposed techniques and the resulting spectral filters are polynomial functions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 131, February 2017, Pages 66–72
نویسندگان
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