[資訊] CFP: IEEE Signal Processing Magazine
Convex Optimization for Signal Processing
Special issue for IEEE Signal Processing Magazine
Guest Editors
Yonina Eldar, Technion, Israel Institute of Technology,
yonina@ee.technion.ac.il
Zhi-Quan Luo, University of Minnesota, luozq@umn.edu
Wing-Kin(Ken) Ma,The Chinese University of Hong Kong, wkma@ee.cuhk.edu.hk
Daniel Palomar, Hong Kong University of Science and Technology,
palomar@ust.hk
Nikos Sidiropoulos, Technical University of Crete, nikos@telecom.tuc.gr
Motivation
In recent years, we have witnessed technical breakthroughs in a wide
variety of topics where the key to success is the use of convex
optimization. In fact, convex optimization has now emerged as a major
signal processing technique and has made signi.cant impact on numerous
problems previously considered intractable. Today, innovative applications
of convex optimization in signal processing range from those in adaptive
.ltering, detection and estimation, sensor array processing, MIMO
communications, sensor networks, sampling theory, and more recently, image
processing, speech processing and cognitive radios -and the scope of its
applications is still expanding. Considering the foundational nature and
potential impact of convex optimization in signal processing, there appears
to be a clear need for a special issue that introduces convex optimization
to the broad signal processing community, gives insights into how convex
optimization can make a di.erence, and showcases some notable successes.
This special issue aims to solicitpapersthatprovidetutorials of convex
optimizationtechniques(including available software) and various successful
signal processing applications. Also welcome are tutorial papers that deal
with emerging, meaningful applications; orthatgivefriendly overviews of
certain theoretically advanced convex optimization techniques relevant to
signal processing.
Examples of topics that will be addressed in this special issue include,
but are not limited to:
‧ Adaptive filtering
‧ Beamforming
‧ Convex optimization fundamentals including relaxation techniques and
software toolboxes
‧ Image processing applications, including denoising, MRI image
processing, phase unwrapping
‧ Compressed sensing
‧ Detection and estimation
‧ MIMO communications
‧ Sensor networks
‧ Cognitive radios
‧ Speech applications
To enhance readability and appeal for a broad signal processing audience,
prospective authors are encouraged to use an intuitive approach in their
presentation; e.g., by using simple instructive examples, considering
special cases that show insights into the ideas, and using illustrations to
the extent possible.
Submission Procedure:
Prospective authors should submit their white papers through the web
submission system at http://www.ee.columbia.edu/spm . The white paper
should be no more than 6 pages in the IEEE double-space one-column 11-point
format.
Schedule:
‧ White paper due: May 5, 2009
‧ Invitation noti.cation: June 1, 2009
‧ Manuscript due: September 1, 2009
‧ Acceptance noti.cation: December 1, 2009
‧ Final manuscript due: January 15, 2010
‧ Publication date: May, 2010
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