BULLETIN
of the
POLISH ACADEMY of SCIENCES TECHNICAL SCIENCES |
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Volume
59, Issue 1, March 2011
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Aims&Scope, Subscription | Editors | Authors' guide | to read PDF files | mirror: http://fluid.ippt.gov.pl/~bulletin/ |
pp 9 - 13 |
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Adaptive synthesis of a wavelet transform using fast neural network |
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J. STOLAREK |
This paper introduces a new method for an adaptive synthesis of a wavelet transform using a fast neural network with a topology based on the lattice structure. The lattice structure and the orthogonal lattice structure are presented and their properties are discussed. A novel method for unsupervised training of the neural network is introduced. The proposed approach is tested by synthesizing new wavelets with an expected energy distribution between low- and high-pass filters. Energy compaction of the proposed method and Daubechies wavelets is compared. Tests are performed using sound and image signals. |
Key words: |
wavelets, neural networks, filter parametrization, fast algorithms |
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Copyright ® Bulletin of the Polish Academy of Sciences: Technical Sciences |
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