This article constructs a tree structure for the music rhythm using the L-system. It models the structure as an automata and derives its complexity. It also solves the complexity for the L-system. This complexity can resolve the similarity between trees. This complexity serves as a measure of psychological complexity for rhythms. It resolves the music complexity of various compositions including the Mozart effect K488.
This paper presents an implementation of the enural mesh on the cellular neural networks(CNN). An energy function is devised for the mesh to cope with the CNN. This energy can guide various behaviors of the mesh.
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