Principal Component Analysis (PCA) based compressive sensing millimeter wave imaging system

Min Liang; Ying Li; Mark A Neifeld; Hao Xin

doi:10.1109/USNC-URSI.2015.7303625

Principal Component Analysis (PCA) based compressive sensing millimeter wave imaging system

Min Liang, Ying Li, Mark A Neifeld, Hao Xin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Compressive sensing is a novel sampling/sensing paradigm that enables significant sampling and computation cost reduction for signals with sparse or compressible representation. With compressive sensing technique, the number of measurements needed for accomplishing a specific task can be greatly reduced compared to traditional methods when the signal is sparse in certain basis. The fundamental idea behind compressive sensing is that rather than sampling at high rate first and then compressing the sampled data, it would be much better to directly sample the data in a compressed format.

Original language	English (US)
Title of host publication	2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	341
Number of pages	1
ISBN (Electronic)	9781479978175
DOIs	https://doi.org/10.1109/USNC-URSI.2015.7303625
State	Published - Oct 21 2015
Event	USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Vancouver, Canada Duration: Jul 19 2015 → Jul 24 2015

Publication series

Name	2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Proceedings

Other

Other	USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015
Country/Territory	Canada
City	Vancouver
Period	7/19/15 → 7/24/15

ASJC Scopus subject areas

Computer Networks and Communications
Communication

Access to Document

10.1109/USNC-URSI.2015.7303625

Cite this

Liang, M., Li, Y., Neifeld, M. A., & Xin, H. (2015). Principal Component Analysis (PCA) based compressive sensing millimeter wave imaging system. In 2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Proceedings (pp. 341). Article 7303625 (2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USNC-URSI.2015.7303625

Principal Component Analysis (PCA) based compressive sensing millimeter wave imaging system. / Liang, Min; Li, Ying; Neifeld, Mark A et al.
2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 341 7303625 (2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Liang, M, Li, Y, Neifeld, MA & Xin, H 2015, Principal Component Analysis (PCA) based compressive sensing millimeter wave imaging system. in 2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Proceedings., 7303625, 2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 341, USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015, Vancouver, Canada, 7/19/15. https://doi.org/10.1109/USNC-URSI.2015.7303625

Liang M, Li Y, Neifeld MA, Xin H. Principal Component Analysis (PCA) based compressive sensing millimeter wave imaging system. In 2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 341. 7303625. (2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Proceedings). doi: 10.1109/USNC-URSI.2015.7303625

Liang, Min ; Li, Ying ; Neifeld, Mark A et al. / Principal Component Analysis (PCA) based compressive sensing millimeter wave imaging system. 2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 341 (2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Proceedings).

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Principal Component Analysis (PCA) based compressive sensing millimeter wave imaging system

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