SPS Feed

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.

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).