Search results

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

With the advent of large language models (LLMs), the concept of artificial intelligence (AI) agents capable of decision making and action execution has gained prominence, particularly as LLMs demonstrate increasing proficiency in tool use and task planning. Following these advancements, the established methods used for task-oriented dialogue (TOD) systems have undergone a paradigm shift by integrating LLMs’ revolutionary language understanding and reasoning skills with enhanced instruction following and response generation abilities.

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

Fractional programming (FP) is a branch of mathematical optimization that deals with the optimization of ratios. It is an invaluable tool for signal processing and machine learning, because many key metrics in these fields are fractionally structured, e.g., the signal-to-interference-plus-noise ratio (SINR) in wireless communications, the Cramér-Rao bound (CRB) in radar sensing, the normalized cut in graph clustering, and the margin in support vector machine (SVM).

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

In his January 2012 column for IEEE Signal Processing Magazine, K. J. Ray Liu, then president of the IEEE Signal Processing Society (SPS), highlighted the importance of establishing a formal community when individuals come together to create a professional society [1]. He emphasized that the Society’s primary mission, its raison d’être, is to serve its community, and the key to achieving this mission is to serve its members effectively.

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

The tutorial “Introducing Information Metrics for Statistical Signal Processing,” [A1] provided the inspiration for our cover in this issue. In their “Lecture Notes” column, Steve Kay and Kaushallya Adhikari invite us to “a leisurely stroll through the garden of the beautiful information-theoretic flowers that have blossomed over the years.” This ends up being not only a pleasant stroll, but also an enriching one with useful insights into these measures and their interrelationships recounted with precision.

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

Over-the-air computation (AirComp) leverages the signal superposition characteristic of wireless multiple-access channels (MACs) to perform mathematical computations. Initially introduced to enhance communication reliability in interference channels and wireless sensor networks (WSNs), AirComp has more recently found applications in task-oriented communications like wireless distributed learning and in wireless control systems.

Section: Publications & Resources

Call for Project Proposals for the Signal Processing Mentorship Academy (SigMA) Program.  The application deadline is 2 November 2025.

Section: Publications & Resources

The IEEE Signal Processing Society (SPS) is accepting proposals for the 2030 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) and invites SPS members to submit a proposal.

Section: Publications & Resources

ICASSP 2026 Workshop Paper Submission Deadline is 22 October, 2025.

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

Manuscript Due: 16 November 2025 Publication Date: April 2026

Section: Publications & Resources

Many problems encountered in sensing and imaging can be formulated as estimating a low-rank object from incomplete, and possibly corrupted, linear measurements; prominent examples include matrix completion and tensor completion.