Fuzzy transforms (F-transforms) are a class of fuzzy approximation methods that utilise fuzzy partitions to represent and reconstruct functions through a collection of weighted average values. By ...

Information theory provides the fundamental framework for understanding and designing data compression algorithms. At its core lies the concept of entropy, a quantitative measure that reflects the ...

“Irregular applications, such as graph analytics and sparse linear algebra, exhibit frequent indirect, data-dependent accesses to single or short sequences of elements that cause high main memory ...

Efficient data compression and transmission are crucial in space missions due to restricted resources, such as bandwidth and storage capacity. This requires efficient data-compression methods that ...

A novel technique developed by MIT researchers rethinks hardware data compression to free up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks ...

Many of today's embedded systems are providing more sophisticated solutions to a wide variety of applications and industries. With this increase in sophistication, there is a corresponding increase in ...

A novel technique rethinks hardware data compression to free up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks simultaneously. A novel technique ...

Traditional RAID solutions reduce both the performance and endurance of solid state drives. Here’s how Pliops XDP provides reliable data protection to SSDs without the performance penalty. NVMe SSDs ...

Lossless data compression of digital audio signals is useful when it is necessary to minimize the storage space or transmission bandwidth of audio data while still maintaining archival quality.

Displays delivering quad HD or 4K resolutions at faster frame rates and support for RGB formats are becoming prevalent in high-end smartphones, automotive infotainment systems, and mixed reality ...