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Section: Publications & Resources
This article investigates deep learning based single- and multi-channel speech dereverberation. For single-channel processing, we extend magnitude-domain masking and mapping based dereverberation to complex-domain mapping, where deep neural networks (DNNs) are trained to predict the real and imaginary (RI) components of the direct-path signal from reverberant (and noisy) ones.
Section: Publications & Resources
Active noise control (ANC) is a technology which lowers the noise level by using the principle of destructive interference of sound wave. Even though recent developments in digital signal processing (DSP) made it possible to implement ANC algorithms in real-time, insufficient computational power is still one of the challenges to solve. In the previous research, as a way of overcoming the lack of computational power, CPU-GPU architecture was proposed so that ANC algorithms utilize the massive computing power of GPU without suffering from the block data transfer between CPU and GPU memories.
Section: Publications & Resources
Android inter-app communication (IAC) allows apps to request functionalities from other apps, which has been extensively used to provide a better user experience. However, IAC has also become an enticing target by attackers to launch malicious activities.
Section: Publications & Resources
Modern System-on-Chip (SoC) designs integrate a number of third party IPs (3PIPs) that coordinate and communicate through a Network-on-Chip (NoC) fabric to realize system functionality. An important class of SoC security attack involves a rogue IP tampering with the inter-IP communication.
Section: Publications & Resources
The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 79 of its members to the grade of IEEE Senior Member. These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and established themselves as leaders in their respective IEEE-designated fields of interest.
Section: Publications & Resources
The signal processing cup, called the SP Cup, is an annual competition in the IEEE ICASSP conference. The goal of this competition is to encourage teams of 3-10 undergraduate students to solve real world problems using tools from signal processing.
Section: Publications & Resources
There will be two exciting IEEE SPS Distinguished Lectures coming this summer. They are virtual and are free to join.
Section: Publications & Resources
The IEEE Signal Processing Society (SPS) would like to express our concern and support for the members of our global community and all affected by the current COVID-19 pandemic.
Section: Publications & Resources
This year the Signal Processing Society identified 8 Chapters who exhibited excellence in many facets of chapter management, member recruitment, and activities.
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
Although many spectral unmixing models have been developed to address spectral variability caused by variable incident illuminations, the mechanism of the spectral variability is still unclear. This paper proposes an unmixing model, named illumination invariant spectral unmixing (IISU).
