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Neural networks have achieved state-of-the-art performance on the task of acoustic Direction-of-Arrival (DOA) estimation using microphone arrays. Neural models can be classified as end-to-end or hybrid, each class showing advantages and disadvantages. This work introduces Neural-SRP, an end-to-end neural network architecture for DOA estimation inspired by the classical Steered Response Power (SRP) method, which overcomes limitations of current neural models.
This paper presents a neural-enhanced probabilistic model and corresponding factor graph-based sum-product algorithm for robust localization and tracking in multipath-prone environments. The introduced hybrid probabilistic model consists of physics-based and data-driven measurement models capturing the information contained in both, the line-of-sight (LOS) component as well as in multipath components (NLOS components). The physics-based and data-driven models are embedded in a joint Bayesian framework allowing to derive from first principles a factor graph-based algorithm that fuses the information of these models.
Mehrnaz Shokrollahi is passionate about technology and AI, with a special focus on championing women in these fields. Currently, she serves as the Director of Data Science & Advanced Analytics at the Royal Bank of Canada (RBC).
This year, the Signal Processing Society has recognized 12 Chapters for their excellence in chapter management, member recruitment, and activities. Read the article for more details.
The Data Science Challenge 2.0 (DSC 2.0), held on 5 March 2024, served as a dynamic platform for university students to showcase their talents, gain industry insights, and delve into real-world data science applications.
The IEEE Signal Processing Society (SPS) invites nominations for the position of Awards Board Chair. The nomination deadline is 19 July 2024. Read the article for full details.
The IEEE Signal Processing Society (SPS) invites nominations for the position of Awards Board Chair. The term for the Awards Board Chair will be three years (1 January 2025-31 December 2027).
The IEEE Signal Processing Society (SPS) invites nominations for the positions of: Director-Student Services, Director-Membership Development, and Seasonal Schools Subcommittee Chair. The term for all positions is three years (1 January 2025-31 December 2027).
The IEEE Signal Processing Society (SPS) invites nominations for the positions of: Director-Student Services, Director-Membership Development, and Seasonal Schools Subcommittee Chair. The term for all positions is three years (1 January 2025-31 December 2027).
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The IEEE Signal Processing Society is dedicated to supporting the professional growth and career advancement of its members in the dynamic field of signal processing. Learn More
Signal processing education and professional development program for all career levels. Learn more.