Lossless data compression plays a vital role in addressing the growth in data volumes, real-time processing demands, and bandwidth constraints that modern systems face. Dr. Sotiropoulou will deliver ...

Compression algorithms for speech, audio, still images, and video are quite complicated and, more importantly, nearly always lossy. Thus, samples often change dramatically once they’re decompressed.

Over the past few years there has been a remarkable progress in the quality of display devices, with 4K displays becoming the norm, and 8K and 10K displays following closely. However, this increase in ...

ADCs and DACs are generating a flood of sampled data that are creating high-speed bottlenecks on busses and in networks. Part 1 of this article described the use of compression algorithms that take ...

Common audio data formats such as the Compact Disc generally store a two-channel (stereo) audio signal. The left and fight channel data streams are stored entirely independently. Various new data ...

Compression algorithms come in two fundamental flavors: lossless and lossy. Lossless compression of computer text files began in the 1970s, when Abraham Lempel and Jacob Ziv created and patented the ...

Optimizing data compression methods has become more critical than ever for cloud storage, data management, and streaming applications. Working with compressed data reduces network bandwidth, data ...

Finding efficient ways to compress and decompress data is more important than ever. Compressed data takes up less space and requires less time and network bandwidth to transfer. In cloud service code, ...

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?