Reed–Solomon codes have long been celebrated for their robust error-correction capabilities in digital communications and data storage. Decoding algorithms for these codes continue to evolve, aiming ...

Polar codes represent a seminal breakthrough in error-correcting coding, enabling communication systems to approach the theoretical capacity of a channel with low-complexity decoding methods. Their ...

Every piece of data that travels over the internet — from paragraphs in an email to 3D graphics in a virtual reality environment — can be altered by the noise it encounters along the way, such as ...

A new silicon chip can decode any error-correcting code through the use of a novel algorithm known as Guessing Random Additive Noise Decoding (GRAND). Every piece of data that travels over the ...

A new chip called ORBGRAND can decode any code applied to data transmitted over the internet with maximum accuracy and between 10 and 100 times more energy efficiency than other methods. Imagine using ...

In designing digital cameras and other consumer devices incorporating camera functionality, with ever improving performance, memory and power often prove to be the major constraints. Consumers expect ...

Maryam Shanechi, Dean’s Professor of Electrical and Computer Engineering and Founding Director of the USC Center for Neurotechnology, and her PhD students have developed a new, advanced deep-learning ...

In today’s modern world, we find a wide range of appliances managed by handheld remote controls, whose decoder function historically has often been provided by a dedicated chip. However, given the ...