Various Announcements

Here are two announcements related to Compressive Sensing hardware:

Emil Sidky first with the following:

Hello Igor,
I just wanted to alert you that there is a special section in the current issue of Applied Optics:
http://www.opticsinfobase.org/ao/issue.cfm about compressive sensing and applications.
Best regards,
Emil

Only the first is free:

• Compressive Sensing Focus Issue: introduction Abstract| Full Text: Enhanced HTML | PDF (135 KB) Applied Optics Vol. 54, Iss. 8, pp. CS1–CS3 (2015), Joseph N. Mait, Abhijit Mahalanobis, Mark A. Neifeld, and Ravindra A. Athale
• Pitfalls and possibilities of radar compressive sensing Abstract | Full Text: Enhanced HTML | PDF (411 KB) Applied Optics Vol. 54, Iss. 8, pp. C1–C13 (2015), Nathan A. Goodman and Lee C. Potter
• Compressive sensing in the EO/IR Abstract| Full Text: Enhanced HTML | PDF (959 KB) Applied Optics Vol. 54, Iss. 8, pp. C14–C22 (2015) M. E. Gehm and D. J. Brady
• Compressive sensing in medical imaging Abstract | Full Text: Enhanced HTML | PDF (1103 KB) Applied Optics Vol. 54, Iss. 8, pp. C23–C44 (2015) Christian G. Graff and Emil Y. Sidky

Valerio Cambareri mentioned the following:

Dear Igor,

I am writing to inform you of the following tutorial that will be held at ISCAS'15 (Lisbon, Portugal) in the morning of Sunday May 24, 2015.

ISCAS 2015 TUTORIAL M6
Title: Compressive Sensing: From Theory to Circuits and Systems, Implementation and Applications  

Speakers: Gianluca Setti (Univ. of Ferrara, Italy) and Riccardo Rovatti (Univ. of Bologna, Italy)

Abstract: Compressed Sensing (CS) is a technique for the reconstruction of a waveform using a number of measurements that is potentially much smaller than the number of samples at the Nyquist rate. CS hinges on a simple early processing of signal samples and is the basis for the so called Analog-to-Information Converters (AIC) where one tries to match resources needed for acquisition with the actual amount of captured information.
This tutorial starts from CS basics and develops recent techniques for the joint design of hardware and algorithms for AICs based on a lightweight signal adaptation. Design flows will be exemplified for analog and digital implementations with considerations on power consumption and effect of non-idealities validated by simulation and measurements. Configurations and conditions in which AIC yields significant improvements over classical acquisition mechanisms will be identified. The discussion will also cover side-advantages of the early-processing entailed by CS, e.g., the possibility of embedding partial but zero-cost security into the resulting acquisition processing thus avoiding the need of dedicated cryptographic stages in non-critical applications.


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Best regards,

Valerio

  Thanks Valerio and Emil ! 
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