Activity Update from the MLSP TC
1 November 2011
We would like to take this opportunity to share with you some recent news and work related to our MLSP-TC. The Machine Learning for Signal Processing Techinical Committee (MLSP TC) is at the interface between theory and application, developing novel theoretically-inspired methodologies targeting both longstanding and emergent signal processing applications.
IEEE Awards Program Announces Call for 2013 Nominations
1 November 2011
IEEE has bestowed technical field awards on individuals in recognition of their contributions and leadership in specific fields of interest to the IEEE.
Free E-books for IEEE Members
1 November 2011
IEEE Members get free access to the IEEE eBook Classics collection. IEEE members have access to more than 220 Free eBooks from the IEEE Press…
Read moreNews from the SPCOM TC
1 November 2011
The interests of the Signal Processing for Communications and Networking Technical Committee (SPCOM TC) span those areas situated at the crossroads of the IEEE Signal Processing (SPS), Communications (COMSOC), and Information Theory (IT) Societies.
“Trends” Expert Overview Sessions Revived at ICASSP 2011
1 November 2011
The breadth of topics in signal processing continues to grow, propelled by advances in digital signal processing theory as well as in new application…
Read moreFree E-books for IEEE Members
1 October 2011
IEEE Members get free access to the IEEE eBook Classics collection. IEEE members have access to more than 220 Free eBooks from the IEEE Press…
Read moreCall for Nominations: IEEE MGA Awards, Recognizing Outstanding IEEE Volunteers
1 October 2011
You can help recognize the efforts of outstanding volunteers by nominating individuals for one of the prestigious IEEE Member and Geographic…
Read moreIncorporating Financial Applications in Signal Processing Curricula
1 October 2011
How to incorporate financial signal processing into the undergraduate and graduate curricula? You can find suggestions in the column article “Incorporating Financial Applications in Signal Processing Curricula”.
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