High-Resolution and Robust Signal Processing

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Yingbo Hua, Alex Gershman, Qi Cheng
CRC Press, Oct 15, 2003 - Technology & Engineering - 550 pages
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High-Resolution and Robust Signal Processing describes key methodological and theoretical advances achieved in this domain over the last twenty years, placing emphasis on modern developments and recent research pursuits. Applications-grounded, this sophisticated resource links theoretical background with high-resolution methods used in wireless communications, brain signal analysis, and space-time radar signal processing.

Chapter extras include theorem proofs, derivations, and computational shortcuts, as well as open problems, numerical measurement, and performance examples, and simulation results

Sixteen illustrious field leaders invest High-Resolution and Robust Signal Processing with: in-depth reviews of parametric high-resolution estimation and detection techniques; robust array processing solutions for adaptive beam forming and high-resolution direction finding; Parafac techniques for high-resolution array processing and specific areas of application; high-resolution nonparametric methods and implementation tactics for spectral analysis; multidimensional high-resolution data models and discussion of R-D unitary ESPRIT with colored noise; multidimensional high-resolution parameter estimation techniques applicable to channel sounding; estimation procedures for high-resolution space-time radar signal processing using 2-D or 1-D/1-D models; and models and methods for EEG/MEG space-time dipole source estimation and sensory array design.
 

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Contents

REFERENCES
53
ROBUSTNESS ISSUES IN ADAPTIVE BEAMFORMING
63
REFERENCES
101
PARAFAC TECHNIQUES FOR HIGHRESOLUTION ARRAY
111
REFERENCES
147
APPENDICES
237
REFERENCES
247
MULTIDIMENSIONAL HIGHRESOLUTION
253
REFERENCES
333
HIGHRESOLUTION SPACETIME SIGNAL PROCESSING
339
APPENDICES
379
REFERENCES
387
EEGMEG SPATIOTEMPORAL DIPOLE SOURCE
393
APPENDICES
427
REFERENCES
437
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Page 387 - MUSIC, maximum likelihood and Cramer-Rao bound," IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.

About the author (2003)

Hua received a B.E. degree from Nanjing Institute of Technology, China in 1982, and M.S. and Ph.D. degrees from Syracuse University, NY, in 1983 and 1988, respectively. He has been on the faculty of the University of Melbourne, Australia, since 1990, where he was a Lecturer, a Senior Lecturer, and is now an Associate Professor and Reader.

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