Fractional Delay Filters Based on Generalized Cardinal Exponential Splines

被引：4

作者：

Bhandari, Ayush ^{[1
]}

Marziliano, Pina ^{[2
]}

机构：

[1] Nanyang Technol Univ, Temasek Labs, Singapore 637553, Singapore

[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Div Informat Engn, Singapore 639798, Singapore

来源：

IEEE SIGNAL PROCESSING LETTERS | 2010年 / 17卷 / 03期

关键词：

Spline; Delay; Interpolation; Data mining; Permission; Probability density function; Finite impulse response filter; DESIGN; RECONSTRUCTION; INTERPOLATION; SIGNALS;

D O I：

10.1109/LSP.2009.2036386

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Fractional delay filters (FDFs) play an important role in certain areas of digital signal processing and communication engineering, where it is desirable to generate delays that are of the order of a fraction of the sampling period. In this paper, we advocate the use of generalized cardinal exponential splines-a class of compactly supported functions that is much richer than the existing B-spline family-for designing precision FDFs. One advantage of using generalized cardinal exponential splines is that it provides ready access to several spline families and other kernels which could be used for FDF design. The B-spline and Lagrange interpolator based FDFs are a special case of our proposition. We also discuss a design example and show that it is possible to design filters that have lower interpolation errors as compared to its B-spline counterparts.

引用

页码：225 / 228

页数：4

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