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.

Data Compression is one of the most important components of this world, driven by petabytes of data daily. We, as humans, are generating data every second. From walking to running, eating to drinking, ...

There are two categories of data compression. The first reduces the size of a single file to save storage space and transmit faster. The second is for storage and transmission convenience. The JPEG ...

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 ...

Streaming services and hi-fi brands now promote “lossless” music as the new gold standard, promising studio-grade sound in your living room, on your commute, and even from your phone. Behind the ...

We’ve been hearing a lot about lossless audio lately. Apple Music says it has it. So does Amazon Music. Tidal and Qobuz have it too, but Spotify doesn’t. (Yet. Or still.) Is lossless audio a big deal?

Apple did its part in moving the world to wireless headphones. With the removal of the headphone jack with iPhone 7, the company made it clear that the future of audio is wireless. However, the ...

Computer scientist Azim Afroozeh redesigned data compression and storage so large datasets can be analyzed faster while ...

Lossless or lossy: If you have big data, know what type of compression to use Your email has been sent Illustration: Lisa Hornung/iStockPhoto Must-read big data coverage What Powers Your Databases?

Electroencephalography (EEG) signal compression techniques have evolved considerably over recent years, addressing the critical challenge of managing the voluminous datasets generated by ...

A team of researchers at ETH Zurich are working on a novel approach to solving increasingly large graph problems. Large graphs are a basis of many problems in social sciences (e.g., studying human ...