Popular Pages
Today's:
- Information for Authors
- IEEE JSTSP Special Series on Artificial Intelligence for Smart Agriculture
- 2025 IEEE Brain Discovery & Neurotechnology Workshop
- IEEE Transactions on Information Forensics and Security
- Submit a Manuscript
- IEEE Transactions on Image Processing
- IEEE Transactions on Multimedia
- (ISBI 2026) 2026 IEEE 23rd International Symposium on Biomedical Imaging
- (SPAWC 2025) 2025 IEEE Workshop on Signal Processing and Artificial Intelligence for Wireless Communications
- SPS Scholarship Program
- (ICME 2026) 2026 IEEE International Conference on Multimedia and Expo
- IEEE Journal of Selected Topics in Signal Processing
- Information for Authors-SPL
- IEEE Signal Processing Letters
- IEEE Journal of Selected Topics in Signal Processing (JSTSP) Special Series on AI in Signal & Data Science -- Toward Large Language Model (LLM) Theory and Applications
All time:
- Information for Authors
- Submit a Manuscript
- IEEE Transactions on Image Processing
- IEEE Transactions on Information Forensics and Security
- IEEE Transactions on Multimedia
- IEEE Transactions on Audio, Speech and Language Processing
- IEEE Signal Processing Letters
- IEEE Transactions on Signal Processing
- Conferences & Events
- IEEE Journal of Selected Topics in Signal Processing
- Information for Authors-SPL
- Conference Call for Papers
- Signal Processing 101
- IEEE Signal Processing Magazine
- Guidelines
Last viewed:
- SPS Scholarship Program
- Awards & Submit Award Nomination
- Students
- IEEE JSTSP Special Series on Artificial Intelligence for Smart Agriculture
- Information for Authors-JSTSP
- (ISBI 2026) 2026 IEEE 23rd International Symposium on Biomedical Imaging
- Professional Development
- IEEE Transactions on Audio, Speech and Language Processing
- IEEE Journal of Selected Topics in Signal Processing (JSTSP) Special Series on AI in Signal & Data Science -- Toward Large Language Model (LLM) Theory and Applications
- Information for Authors
- (ICME 2025) 2025 IEEE International Conference on Multimedia and Expo
- IEEE Transactions on Information Forensics and Security
- IEEE Transactions on Signal Processing
- Technical Liaison Committee/Editorial Board
- SPS Resource Center
SPS Feed
Top Reasons to Join SPS Today!
1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
The Latest News, Articles, and Events in Signal Processing
This year the Signal Processing Society identified 8 Chapters who exhibited excellence in many facets of chapter management, member recruitment, and activities.
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.
There will be two exciting IEEE SPS Distinguished Lectures coming this summer. They are virtual and are free to join.
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.
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.
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.
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.
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.
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.
Pages
SPS Social Media
- IEEE SPS Facebook Page https://www.facebook.com/ieeeSPS
- IEEE SPS X Page https://x.com/IEEEsps
- IEEE SPS Instagram Page https://www.instagram.com/ieeesps/?hl=en
- IEEE SPS LinkedIn Page https://www.linkedin.com/company/ieeesps/
- IEEE SPS YouTube Channel https://www.youtube.com/ieeeSPS
IEEE SPS Educational Resources
IEEE SPS Resource Center
IEEE SPS YouTube Channel
