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.

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.

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...

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 ...

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s ...

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 ...

The IP surveillance market has boomed over the past decade with dozens, if not hundreds, of new players emerging and traditional CCTV manufacturers expanding into networked technologies. With 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 ...

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 ...

As mentioned previously, the characteristics of typical audio signals vary from time to time and therefore we must expect the required bit rate for lossless compression to vary as well. Since the bit ...