avkodingsalgoritmer
Avkodingsalgoritmer, or decoding algorithms, are procedures used to reconstruct the original information from data that has been encoded for transmission or storage. In coding theory, decoding aims to recover the message from encodings that may have been corrupted by noise. Decoding can target channel coding (error correction) or source coding (data compression), though many practical systems treat both aspects as part of data recovery.
In practice, decoding methods balance accuracy, complexity, and latency. Common approaches include maximum-likelihood decoding, which selects
Notable families and algorithms include: convolutional codes decoded with the Viterbi algorithm, which finds the most
Source coding decoders reverse data compression and include algorithms for Huffman coding, arithmetic coding, and Lempel–Ziv
Implementation considerations include hardware versus software realizations, latency constraints, memory usage, and the trade-offs between hard-decision