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The Latest News, Articles, and Events in Signal Processing
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.
The problem of blind audio source separation (BASS) in noisy and reverberant conditions is addressed by a novel approach, termed Global and LOcal Simplex Separation (GLOSS), which integrates full- and narrow-band simplex representations. We show that the eigenvectors of the correlation matrix between time frames in a certain frequency band form a simplex that organizes the frames according to the speaker activities in the corresponding band.
The coded aperture snapshot spectral imager (CASSI) is a computational imaging system that acquires a three dimensional (3D) spectral data cube by a single or a few two dimensional (2D) measurements. The 3D data cube is reconstructed computationally. Binary on-off random coded apertures with square pixels are primarily implemented in CASSI systems to modulate the spectral images in the image plane.
Users of X-ray (micro-)CT in research environments often study many different types of objects, with many different research questions. For each new scan, the settings of the scan (number of angles, dose, cone angle) are chosen by the user, often based on how much time is available, the dose sensitivity of the sample, and geometrical characteristics of the particular CT-scanner that is used.
This paper formulates a multitask optimization problem where agents in the network have individual objectives to meet, or individual parameter vectors to estimate, subject to a smoothness condition over the graph. The smoothness condition softens the transition in the tasks among adjacent nodes and allows incorporating information about the graph structure into the solution of the inference problem.
In this paper, we analyze the two-node joint clock synchronization and ranging problem. We focus on the case of nodes that employ time-to-digital converters to determine the range between them precisely. This specific design choice leads to a sawtooth model for the captured signal, which has not been studied before from an estimation theoretic standpoint.
Active control of noise for multi-channel applications is affected by the existence of nonlinear primary and secondary paths. There is a degradation in the performance of linear multi-channel active noise control (LMANC) systems based on minimization of sum of squared errors obtained from multiple sensors in presence of nonlinear primary path (NPP) and nonlinear secondary path (NSP) conditions.
A process is in place to ensure that Section, Chapter and Society officers will be notified when a wire transfer is processed through a local Section bank account for a chapter that does not have its own bank account.
Each month, the Chapter Briefs Newsletter will feature an OU Analytics Tip that will be helpful to all who utilize the OU Analytics tool. This month's Tip features a New Volunteer Role Filter in OU Analytics.
As a reminder for continuing chapter chairs and for incoming chapter chairs for 2020, we would like to highlight a valuable resource available to you. Launched in 2018, IEEE OU Analytics, is a web-based business intelligence tool which delivers essential metrics on memberships or subscriptions to OUs, including Societies, Councils, Technical Communities, etc.
The MGA Training Committee is pleased to announce the launch of the 2020 Volunteer Leadership Training (VoLT) Program. The VoLT Program invites volunteers who have a desire to continue growing as IEEE volunteers and lead their local units to complete the program's prerequisite courses and apply for the program when the application opens in June.
The IEEE Signal Processing Society invites nominations for the SPS Challenges and Data Collections Chair position. The term for the position is two years (1 January 2023-31 December 2024). Nominations must be received no later than 15 June 2022.
IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.
Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.
Given the impossibility of travel during the COVID-19 crisis, Computational Imaging TC is launching an SPS Webinar Series SPACE (Signal Processing And Computational imagE formation) as a regular bi-weekly online seminar series to reach out to the global computational imaging and signal processing community.
This issue brings to you our interview with Dr. Subhro Das, an active IEEE Signal Processing Society (SPS) Young Professional. I am a Research Staff Member at the MIT-IBM Watson AI Lab, IBM Research in Cambridge USA. The MIT-IBM Watson AI Lab, a first of its kind industry-academic collaboration between IBM Research and MIT, focus on fundamental research problems at the vanguard of artificial intelligence.
The blood vessels of the brain and the retina share common embryological origins and have comparable anatomy and physiology. In this thesis, patients with Schizophrenia (SCZ) and Bipolar disorder (BD) were recruited and compared with healthy volunteers (HV). We examined the diameters of the retinal venules and arterioles for abnormalities in patients and HV.
The human visual system has a unique ability to conceptualizing the dynamics of objects' interactions in a scene. We are not only able to detect objects' motion (including articulated and deformable ones, such as humans and animals) in a given scene but also distinguish different types of motion patterns in their bodies during various interactive actions.
Christ Richmond (Duke University) has been named Editor-in-Chief for the IEEE Signal Processing Letters for the term 1 January 2023 through 31 December 2025.
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