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Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

We are experiencing a pivotal moment in the history of our profession. Our community’s technology finds applications in various fields, including machine learning, integrated sensing, processing, and communication; robotics and autonomous systems; medical and computational imaging; communication systems; and speech and language processing systems, among others. As signal processing technology continues to advance, these applications will likely expand. The need to narrow the gap between academia and industry has seldom been greater.

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: Events

Date: 09-December-2025Time: 09:30 AM ET (New York Time)Presenter: Dr. Magdalena FuentesAbout this topic:

Section: Events

Date: 20-November-2025​Time: 09:30 AM ET (New York Time)Presenter: Dr. Lin ZhangBased on the IEEE Xplore® article titled: “The Partial Spoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance”Published: IEEE/ACM Transactions on Audio, Speech, and Language Processing, December 2022.