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Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

The world is moving faster, and signal processing is helping to lead the way, making mobile technologies faster, safer, and more functional on land and even under the sea. At the Massachusetts Institute of Technology (MIT), engineers have created an algorithm that allows autonomous underwater vehicles (AUVs) to weigh the risks and potential rewards of exploring unknown deep-sea sites in real time. 

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

The anniversary of a number of significant signal processing algorithms from the 1960s, including the least mean square algorithm and the Kalman filter, provided an opportunity at ICASSP 2019 to reflect on the links between education and innovation. This led ultimately to the proposal of some special sessions as well a panel session that would provide some insight, via a historical perspective, consideration of the current status, and an assessment of the emerging educational future.

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

This article examines the problem of interference in automotive radar. Different types of automotive radar as well as mechanisms and characteristics of interference and the effects of interference on radar system performance are described. The interference-to-noise ratio (INR) at the output of a detector is a measure of the susceptibility of a radar to interference. The INR is derived from different types of interfering and victim radars and depends on the location of both as well as parameters such as transmit power, antenna gain, and bandwidth.

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

Today, many devices (e.g., cars and other vehicles) we operate for various tasks (e.g., to go from place A to place B) are changing: in the past, they were characterized by a body and control actuators that allowed us to perform these tasks. These days, they are not simply passive recipients of our instructions; 

Section: Events

Lecture Date: December 2-3, 2019 Chapter: Chile Chapter Chair: Nestor B. Yoma Topic: Optimal Multichannel Signal Enhancement Audio-Visual Voice Activity Detection Using Deep Neural Networks

Section: Events

Lecture Date: December 4-5, 2019 Chapter: South Brazil Chapter Chair: Vanessa Testoni Topic: Audio-Visual Voice Activity Detection Using Deep Neural Networks

Section: Events

Lecture Date: December 6, 2019 Chapter: Rio de Janeiro Chapter Chair: Markus V. Lima Topic: Optimal Multichannel Signal Enhancement Audio-Visual Voice Activity Detection Using Deep Neural Networks

Section: Events

Lecture Date: November 8, 2019 Chapter: Central Indiana Chapter Chair: John Mott Topic: Privacy-Preserving Localization and Recognition of Human Activities

Advisor: Aws Al-Qaisi Email: dr.aws.alqaisi@gmail.com Chair: Shaima'a al-Qasem Email: shaimaa_alqasem@ieee.org

Issue Date: September, 2019

Section: Community & Involvement

This year, the Nominations and Elections Subcommittee of the IEEE Information Forensics and Security Technical Committee (IFS-TC) has called for nomination of new IFS-TC members (by September 30) and the new IFS-TC Vice Chair (by October 20). The nomination material for both calls shall be submitted to the IFS Nominations and Elections Subcommittee (email alias: ifs-election@ieee.org) by the corresponding deadline.