The Resource Sparse nonlinear optimization for signal processing and communications, by Zengli Yang

Sparse nonlinear optimization for signal processing and communications, by Zengli Yang

Label
Sparse nonlinear optimization for signal processing and communications
Title
Sparse nonlinear optimization for signal processing and communications
Statement of responsibility
by Zengli Yang
Creator
Author
Subject
Language
eng
Summary
"This dissertation proposes three classes of new sparse nonlinear optimization algorithms for network echo cancellation (NEC), 3-D synthetic aperture radar (SAR) image reconstruction, and adaptive turbo equalization in multiple-input multiple-output (MIMO) underwater acoustic (UWA) communications, respectively. For NEC, the proposed two proportionate affine projection sign algorithms (APSAs) utilize the sparse nature of the network impulse response (NIR). Benefiting from the characteristics of l1-norm optimization, affine projection, and proportionate matrix, the new algorithms are more robust to impulsive interferences and colored input than the conventional adaptive algorithms. For 3-D SAR image reconstruction, the proposed two compressed sensing (CS) approaches exploit the sparse nature of the SAR holographic image. Combining CS with the range migration algorithms (RMAs), these approaches can decrease the load of data acquisition while recovering satisfactory 3-D SAR image through l1-norm optimization. For MIMO UWA communications, a robust iterative channel estimation based minimum mean-square-error (MMSE) turbo equalizer is proposed for large MIMO detection. The MIMO channel estimation is performed jointly with the MMSE equalizer and the maximum a posteriori probability (MAP) decoder. The proposed MIMO detection scheme has been tested by experimental data and proved to be robust against tough MIMO channels."--Abstract, page iv
Related
Member of
Cataloging source
UMR
http://library.link/vocab/creatorDate
1987-
http://library.link/vocab/creatorName
Yang, Zengli
Degree
Ph. D.
Dissertation year
2014
Granting institution
Missouri University of Science and Technology
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/subjectName
  • Signal processing
  • Underwater acoustic telemetry
  • Adaptive filters
  • Wireless communication systems
  • Adaptive control systems
Label
Sparse nonlinear optimization for signal processing and communications, by Zengli Yang
Instantiates
Publication
Note
  • Vita
  • "This dissertation consists of; three published or accepted papers"--Page iii
Bibliography note
Includes bibliographic references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Control code
882557726
Extent
1 online resource (xi, 105 pages)
Form of item
online
Governing access note
These materials are protected under copyright by the original author
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations (most colored).
Specific material designation
remote
System control number
(OCoLC)882557726
Label
Sparse nonlinear optimization for signal processing and communications, by Zengli Yang
Publication
Note
  • Vita
  • "This dissertation consists of; three published or accepted papers"--Page iii
Bibliography note
Includes bibliographic references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Control code
882557726
Extent
1 online resource (xi, 105 pages)
Form of item
online
Governing access note
These materials are protected under copyright by the original author
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations (most colored).
Specific material designation
remote
System control number
(OCoLC)882557726

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