Abstract：
:Many sparse signal representation (SSR) algorithms have been developed in the past decade. The advantages of SSR such as compact representations and super resolution lead to the state of the art performance of SSR for processing ultrasonic non-destructive evaluation (NDE) signals. Choosing a suitable SSR algorithm and designing an appropriate overcomplete dictionary is a key for success. After a brief review of sparse signal representation methods and the design of overcomplete dictionaries, this paper addresses the recent accomplishments of SSR for processing ultrasonic NDE signals. The advantages and limitations of SSR algorithms and various overcomplete dictionaries widely-used in ultrasonic NDE applications are explored in depth. Their performance improvement compared to conventional signal processing methods in many applications such as ultrasonic flaw detection and noise suppression, echo separation and echo estimation, and ultrasonic imaging is investigated. The challenging issues met in practical ultrasonic NDE applications for example the design of a good dictionary are discussed. Representative experimental results are presented for demonstration.
journal_name
Ultrasonicsjournal_title
Ultrasonicsauthors
Zhang GM,Zhang CZ,Harvey DMdoi
10.1016/j.ultras.2011.10.001subject
Has Abstractpub_date
2012-03-01 00:00:00pages
351-63issue
3eissn
0041-624Xissn
1874-9968pii
S0041-624X(11)00216-2journal_volume
52pub_type
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