D.Ing. / Due to continuous research there is a large variety of new source and channel coding technologies which are constantly being introduced and refined. This study presents a new approach that enables one to use enumerative source coding on variable length codewords. The technique introduced are shown to provide an effective and fast decoder. The encoding process depends on the code used and its qualities. This new technique is illustrated by applying it to Huffman source coding. As a result, an efficient and fast Huffman decoder was constructed. The new decoder also resulted in small codebook representations. An efficient source coding mechanism, must be complemented by a channel and error correction coding mechanism which is just as efficient to ensure an optimal communication channel. We conclude this study by investigating channel and constrained coding. We know that the implementation of error correction and detection codes, like Reed-Solomon codes, are resource intensive with longer codewords. This problem is circumvented by the introduction of an alternative channel architecture. In this new architecture, a channel code is applied to the source data before an error correction code is applied to the channel data. For long codewords in the channel code, this new approach is shown to be equal or superior to block and sliding window codes. This new approach is block based, but unlike block codes, usable in most types of channels.