Spectral analysis of nonuniformly spaced data using least square method

被引：2

作者：

Koh, J ^{[1
]}

Sarkar, TK

机构：

[1] Gyeongsang Natl Univ, Engn Res Inst, Dept Elect & Elect Engn, Jinju, South Korea

[2] Syracuse Univ, Dept Elect Engn & Comp Sci, Syracuse, NY 13244 USA

来源：

DIGITAL SIGNAL PROCESSING | 2005年 / 15卷 / 01期

关键词：

periodogram; unevenly sampled spectrum; Hilbert transform; least square method;

D O I：

10.1016/j.dsp.2004.09.004

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：

The current study investigates an unevenly spaced spectrum using a least square method. The well known Lomb periodogram approach has many benefits, yet it cannot resolve positive and negative frequencies. Using a modified scheme, positive and negative frequencies were discerned without losing any of the benefits of a Lomb periodogram. One of the properties of the periodogram approach is the relationship between the coefficients, i.e., the Hilbert transformation pair. By utilizing this property, the processing time was reduced by half. (C) 2004 Elsevier Inc. All rights reserved.

引用

页码：44 / 55

页数：12

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