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Machine Learning for Signal Processing (MLSP) TC Announces the Winners of the 6th Annual Data Analysis Competition

For each of the past 6 years, the Machine Learning for Signal Processing (MLSP) TC has hosted a data analysis competition. The specific application varies from year to year. The goal for this year's competition, MLSP 2010 Competition: Mind Reading, was to develop a feature extraction method and classifier to detect the neural signatures in EEG data that occur when the subject detects an instance of a pre-defined target during an image presentation task (using the oddball paradigm).

Examining H1N1 through Its Information Entropy

As reported by CNN in October 2009, the declaration of the H1N1 (swine flu) pandemic as a national emergency in the United States high lights the magnitude and continuing spread of the first pandemic flu outbreak in 40 years. The May 2010 “IN THE SPOTLIGHT” column of the IEEE Signal Processing Magazine discussed how signal processing techniques can be used to analyze the information content of H1N1 genomic sequences.

Call for Medal Nominations: IEEE Jack S. Kilby Signal Processing Medal

The IEEE Awards Board invites you to nominate candidates for the 2011 IEEE Jack S. Kilby Signal Processing Medal. The IEEE Jack S. Kilby Signal Processing Medal, sponsored by Texas Instruments Inc., may be presented "for outstanding achievements in signal processing." The achievement may be theoretical, technological or commercial. The Medal is named in honor of Jack S. Kilby. His innovation was a monumental precursor to the development of the signal processor and digital signal processing. Nominations are due no later than 1 July 2010.

DSPs Evolving in Consumer Electronics Applications

You would be hard pressed to find a consumer electronic product that does not require digital signal processing. Consumer electronics is a big market—about US$165 billion this year, and the requirement for digital signal processors (DSPs) just keeps growing with the introduction of new, innovative products. Learn about how DSPs evolve in consumer electronics applications through the Special Report by Ron Schneiderman in the IEEE Signal Processing Magazine (May 2010).

Web-Based Query Tool Available For Gathering Membership Data

SAMIEEE is a web-based ad-hoc query tool that provides volunteers with the ability to gather useful information regarding their Chapter's membership data.  It is available at this link. Predefined (prewritten) queries are provided and stored in folders in the system, making it easy to run and download data without having to recreate queries that are known "common" selections for Society officers (for example, counts of members, by grade, by region; list of current members, total, or by section or region, and so on.).