IEEE Signal Processing Magazine

The 27th European Signal Processing Conference (EUSIPCO) was held 2–6 September 2019 at the A Coruña Conference Center, Palexco. “Balcony of the Atlantic,” “Crystal City,” and “Herculine City” are some of the nicknames for A Coruña, Spain, whose motto is “A Coruña, a cidade onde ninguén é forasteiro,” which translates into “A Coruña, the city where nobody is an outsider.”

The articles in this special section focus on computational magnetic resonance imaging (MRI) using compressed sensing applications. Presents recent developments in computational MRI. These developments are pushing the frontier of computational imaging beyond CS. Similar to CS, most of these algorithms rely on image representation in one form or another. 

I have made a concerted effort in my previous editorials to cover topics that embrace our humanity and diversity and touch on issues of social value, the environment, the universe, our history, and science. In it all, I hope that you were able to see the reach and impact of our discipline into the depths of our existence.

In an increasingly networked world, signal processing is leading the way to innovations that promise to raise data throughput and capacity to levels scarcely dreamed of a decade ago.

Since its inception in the early 1970s [1], magnetic resonance imaging (MRI) has revolutionized radiology and medicine. Apart from high-quality data acquisition, image reconstruction is an important step to guarantee high image quality in MRI.

IEEE Life Fellow James J. Spilker, Jr., Global Positioning Systems (GPS) pioneer, philanthropist, and entrepreneur died on 24 September at the age of 86. Lives around the world are better every day thanks to Prof. Spilker’s passion and dedication to his work. Prof. Spilker’s early childhood was marked by difficulties.

Many of us marveled in awe in March 2018 at the sight of the Ghana teacher who, using colored chalk, drew on his blackboard a snapshot of how an open window of the Microsoft Word software would look like on the screen of a computer...

This is an age of mobility. Phones, tablets, notebook computers, smart watches, and various other devices now supply people around the world with instant communication capabilities that were only dreamed of a generation ago. Mobility technologies are also transforming medicine, helping to improve the quality of care for people at all stages of life, giving both patients and healthcare providers deeper...

The success of artificial neural networks (ANNs) in carrying out various specialized cognitive tasks has brought renewed efforts to apply machine learning (ML) tools for economic, commercial, and societal aims, while also raising expectations regarding the advent of an artificial “general intelligence” [1]–[2][3]. Recent highly publicized examples of ML breakthroughs include the ANN-based algorithm AlphaGo...

The success of artificial neural networks (ANNs) in carrying out various specialized cognitive tasks has brought renewed efforts to apply machine learning (ML) tools for economic, commercial, and societal aims, while also raising expectations regarding the advent of an artificial “general intelligence” [1]–[2][3]. Recent highly publicized examples of ML breakthroughs include the ANN-based algorithm AlphaGo...