Dear Colleagues, I Am Looking for a Highly Motivated, Talented, and Fun

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Dear Colleagues, I am looking for a highly motivated, talented, and fun post-doctorate fellow, for exciting research in the area of compressed sensing applied to analog signals with applications to low-rate analog-to-digital conversion, ultrasound imaging, radar systems, cognitive radio and more. The research will involve tight interaction between engineering (signal processing and hardware design) and applied mathematics and statistics. This project provides a unique opportunity to conduct research on topics that are in the frontier of signal processing and sampling theory, while at the same time have direct impact on industrial applications. Our labs are equipped with state-of-the art equipment from several companies interested in advanced sampling techniques for next generation radar/ultrasound/wireless systems and more. See http://webee.technion.ac.il/Sites/People/YoninaEldar/Info/hardware.html for a description of some current projects. Potential candidates should have: * An established research record with solid publications and the ability to work independently; * Strong background in applied mathematics (relevant specialties are: sampling theory, optimization, signal processing, harmonic analysis); * Knowledge of RF theory and design is a big advantage (but not necessary); * A true desire to collaborate and be part of a team which will include both mathematicians and analog design experts. This project will offer the opportunity to collaborate closely with renowned experts in a stimulating intellectual environment, including the latest equipment in RF, radar, and other areas. The working conditions at the Technion are excellent. The Department of Electrical Engineering of the Technion is ranked among the "top 10" Electrical Engineering and Computer Science departments in the world. The department is the major source of engineers who lead the development of advanced Israeli technology in the fields of electronics, computers and communications. A recent international review ranked the labs, the projects, and the student quality as "second to none". The Technion is located in Haifa, a beautiful vibrant port-city on the Mediterranean. Details: Starting time: Spring/Summer 2011 and onwards. Duration: An initial contract of 1 year duration will be offered to the successful candidate, with a possibility of extension. Interested candidates are invited to send their CV with names of 2 references to [email protected] Please feel free to forward this mail to anyone you think might be interested in applying Best regards, Yonina --------------------------------------------- Prof. Yonina Eldar Dept. of Electrical Engineering Technion -- Israel Institute of Technology Technion City, Haifa 32000, Israel Tel: +972-4- 829-3256 Fax: +972-4-829-5757 Email: [email protected] http://www.ee.technion.ac.il/Sites/People/YoninaEldar/ .

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Sampling Signals on Graphs: from Theory to Applications
GRAPH SIGNAL PROCESSING: FOUNDATIONS AND EMERGING DIRECTIONS Yuichi Tanaka, Yonina C. Eldar, Antonio Ortega, and Gene Cheung Sampling Signals on Graphs From theory to applications he study of sampling signals on graphs, with the goal of building an analog of sampling for standard signals in the T time and spatial domains, has attracted considerable atten- tion recently. Beyond adding to the growing theory on graph signal processing (GSP), sampling on graphs has various promising applications. In this article, we review the current progress on sampling over graphs, focusing on theory and potential applications. Although most methodologies used in graph signal sam- pling are designed to parallel those used in sampling for standard signals, sampling theory for graph signals signifi- cantly differs from the theory of Shannon–Nyquist and shift- invariant (SI) sampling. This is due, in part, to the fact that the definitions of several important properties, such as shift invariance and bandlimitedness, are different in GSP systems. Throughout this review, we discuss similarities and differenc- es between standard and graph signal sampling and highlight open problems and challenges. Introduction Sampling is one of the fundamental tenets of digital signal pro- cessing (see [1] and the references therein). As such, it has been studied extensively for decades and continues to draw consid- erable research efforts. Standard sampling theory relies on concepts of frequency domain analysis, SI signals, and band- ©ISTOCKPHOTO.COM/ALISEFOX limitedness [1]. The sampling of time and spatial domain sig- nals in SI spaces is one of the most important building blocks of digital signal processing systems. However, in the big data era, the signals we need to process often have other types of connections and structure, such as network signals described by graphs.
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Deep Task-Based Quantization †
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Recovering Lost Information in the Digital World by Yonina Eldar Resolution
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Sparse Array Design Via Fractal Geometries Regev Cohen , Graduate Student Member, IEEE, and Yonina C
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Download The
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