On time delay estimation from a sparse linear prediction perspective

Hongsen He, Tao Yang, Jingdong Chen

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

This paper proposes a sparse linear prediction based algorithm to estimate time difference of arrival. This algorithm unifies the cross correlation method without prewhitening and that with prewhitening via an l2/l1 optimization process, which is solved by an augmented Lagrangian alternating direction method. It also forms a set of time delay estimators that make a tradeoff between prewhitening and non-prewhitening through adjusting a regularization parameter. The effectiveness of the proposed algorithm is demonstrated in noisy and reverberant environments.

Original languageEnglish
Pages (from-to)1044-1047
Number of pages4
JournalJournal of the Acoustical Society of America
Volume137
Issue number2
DOIs
StatePublished - 1 Feb 2015

Fingerprint

Dive into the research topics of 'On time delay estimation from a sparse linear prediction perspective'. Together they form a unique fingerprint.

Cite this