This project is a complete, command-line implementation of the Huffman coding algorithm written in C++. It allows users to significantly reduce the size of text files by analyzing character ...
/// This generates special cases of the huffman encoding tree using 8 bit keys with the additional condition that unused combinations of 8 bits are treated as a frequency of 1 void EncodeArray( ...
Compression reduces bandwidth and storage requirements by removing redundancy and irrelevancy. Redundancy occurs when data is sent when it’s not needed. Irrelevancy frequently occurs in audio and ...
The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.
Abstract: Text steganography inherently grapples with a trade-off between embedding capacity and text quality. Although prior work has explored Huffman coding to mitigate this issue, we observe that ...
Abstract: The paper implemented a Semi-Non-Prefix (SNP) Huffman coding algorithm for lossless text compression and compared it with traditional Run-Length encoding (RLE), Shannon-Fano, LZ77, and LZ78 ...