February 2018

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10 years of news and resources for members of the IEEE Signal Processing Society

February 2018

The 2018 IEEE Data Science Workshop is a new workshop that aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science theory and applications.

IEEE Signal Processing Society is accepting proposals in all regions for the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Intellectual descendants and colleagues of MIT Professor Alan V. Oppenheim gathered to mark his 80th birthday and discuss the future of a quietly prolific scientific field.

Author: Song-Wen Huang  (University at Buffalo, the State University of New York) Advisor: Dimitris A. Pados
Radio frequency and underwater acoustic communications have grown rapidly in environmental monitoring, telecommunications, offshore oil exploration, and surveillance applications. Nonetheless, signals may still suffer from harsh challenges in wireless fading channels for high attenuation, multipath effect, and Doppler spread. 

Image, Video, and Multidimensional Signal Processing Technical Committee  (IVMSP TC) promotes and guides the advancement of the field of image, video, and multidimensional signal processing. It provides leadership for the technical programs for ICIP and for the IVMSP-related areas at ICASSP...

Speech and Language processing (SLP) is essentially a series of sequence-to-sequence learning problems. Conventional SLP systems map input to output sequences through module-based architectures where each module is independently trained. 

Neurotechnology is one of the hottest areas of engineering, and the technological achievements sound miraculous: Paralyzed people have controlled robotic limbs with their brains, while blind people are receiving implants that send signals to their visual centers.

Within scientific research, engineering, and consumer electronics, there is a multitude of new discrete sensor-interfaced devices. Maintaining high accuracy in signal quantization while staying within the strict power-budget of these devices is a very challenging problem.

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