Images transmitted over the world wide web are an excellent example of why data compression is important. Suppose we need to download a digitized color photograph over a computer's 33.6 kbps modem. If ...

The surge in advanced imaging techniques has generated vast biomedical image data with diverse dimensions in space, time and spectrum, posing big challenges to conventional compression techniques in ...

We design a quantum method for classical information compression that exploits the hidden subgroup quantum algorithm. We consider sequence data in a database with a priori unknown symmetries of the ...

The different types of compression can have a huge effect on your big data transfers. Knowing what types to use is important for your business. The world is generating 2.5 quintillion bytes of data ...

LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.

With more and more embedded systems being connected, sending state information from one machine to another has become more common. However, sending large packets of data around on the network can be ...

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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 compression technique that does not decompress digital data back to 100% of the original. Lossy methods can provide high degrees of compression and result in smaller compressed files, but some ...

Modern wireless infrastructure systems use fibers running a CPRI (Common Public Radio Interface) protocol to communicate frequency, phase, complex data, and control information. The demand for ...