Concurrently, there has been significant progress in leveraging FPGA platforms, where innovative Huffman encoding architectures minimise data processing delays and reduce clock cycle consumption [2].

Run-length encoding followed by either Huffman or arithmetic encoding is also a common strategy. As you might expect, these types of algorithms are very complicated, and usually left to data ...

The Huffman coding allows further reductions in the bit rate. All these approaches are also used in the AAC algorithm. In addition, the algorithm makes use of prediction to reduce the dynamic range of ...

Applying data compression techniques not only reduces the bandwidth but also enhances the strength of the cryptosystem.

While many bit-packing algorithms exist, the compressor here uses a technique called block floating-point (BFP) encoding. BFP generates one exponent per N redundancy-remover output samples.