Starting from obvious similarities in operations in LDPC decoding to common neuron models, we have started making this correspondence more obvious. There are manifold possibilities to bridge the two fields, where some applications like denoising offer very obvious links, others appear much more distant.
Posts Categorized / Neural Networks & LDPC Codes
Student: Robin Nyombi Schofield Ssenyonga Advisor: Prof. Dr.-Ing. Werner Henkel Time frame: Spring 2015 Description: Neural network rules and coding theory concepts have been associated in the past. It is known that in relation to neural networks, iterative decoding exhibits some nonlinear dynamics. The purpose of this thesis, therefore, is