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Section: Publications & Resources
Record linkage is the challenging task of deciding which records, coming from disparate data sources, refer to the same entity. Established back in 1946 by Halbert L. Dunn, the area of record linkage has received tremendous attention over the years due to its numerous real-world applications, and has led to a plethora of technologies, methods, metrics, and systems.
Section: Publications & Resources
This paper presents a signal processing and machine learning (ML) based methodology to leverage Electromagnetic (EM) emissions from an embedded device to remotely detect a malicious application running on the device and classify the application into a malware family. We develop Fast Fourier Transform (FFT) based feature extraction followed by Support Vector Machine (SVM) and Random Forest (RF) based ML models to detect a malware. We further propose methods to learn characteristic behavior of different malwares from EM traces to reveal similarities to known malware families and improve efficiency of malware analysis.
Section: Publications & Resources
Associated SPS Event: IEEE ICASSP 2021 Grand Challenge
Novel Coronavirus (COVID-19) has drastically overwhelmed more than 200 countries around the world affecting millions and claiming more than 1.5 million human lives, since its first emergence in late 2019. This highly contagious disease can easily spread, and if not controlled in a timely fashion, can rapidly incapacitate healthcare systems.
Section: Publications & Resources
Associated SPS Event: IEEE ICASSP 2021 Grand Challenge
The ICASSP 2021 Deep Noise Suppression (DNS) challenge is designed to foster innovation in the field of noise suppression to achieve superior perceptual speech quality. We recently organized a DNS challenge special session at INTERSPEECH 2020. We open sourced training and test datasets for researchers to train their noise suppression models. We also open sourced a subjective evaluation framework and used the tool to evaluate and pick the final winners. Many researchers from academia and industry made significant contributions to push the field forward.
Section: Publications & Resources
Every person spends around 1/3 of their life in bed. For an infant or a young toddler this percentage can be much higher, and for bed-bound patients it can go up to 100% of their time. In-bed pose estimation is a critical step in many human behavioral monitoring systems, which are focused on prevention, prediction, and management of at-rest or sleep-related conditions in both adults and children.
Section: Publications & Resources
The IEEE Signal Processing Society (SPS) invites nominations for the positions of Awards Board Chair and Fellow Evaluation Committee - Chair and Vice Chair. Nominations should be received no later than 30 July 2021.
Section: Publications & Resources
The SPS membership numbers have been stable, albeit low, for many years in Region 9. However, there has been a decrease in student membership even though the number of active students in the areas of interest of signal processing remain high throughout the whole region.
Section: Publications & Resources
The IEEE Signal Processing Society Chapter of the Year Award will be presented for the 11th time in 2022. The award will be presented annually to a Chapter that has provided their membership with the highest quality of programs, activities and services. The award will be presented annually in conjunction with the International Conference on Acoustics, Speech and Signal Processing (ICASSP) to the Chapter’s representative.
Section: Publications & Resources
This webinar will discuss the MMSE channel estimator for a simple SIMO system model, without knowledge of the required channel statistics. Although the derived MMSE estimator is computationally intractable in the general form, its structure can be used to motivate a neural network architecture with lower complexity.
Section: Publications & Resources
The SPS membership numbers have been stable, albeit low, for many years in Region 9. However, there has been a decrease in student membership even though the number of active students in the areas of interest of signal processing remain high throughout the whole region.
