### Details

#### Title

Improving energy compaction of a wavelet transform using genetic algorithm and fast neural network#### Journal title

Archives of Control Sciences#### Yearbook

2010#### Numer

No 4#### Publication authors

#### Divisions of PAS

Nauki Techniczne#### Description

Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.

Aims and Scope: Archives of Control Sciences publishes papers in the broadly understood field of control science and related areas while promoting the closer integration of the Polish, as well as other Central and East European scientific communities with the international world of science.

#### Publisher

Committee of Automatic Control and Robotics PAS#### Date

2010#### Identifier

ISSN 1230-2384#### References

Beyer H.-G. (2002), Evolution strategies - a comprehensive introduction, Natural Computing, 1, 1, 3. ; Cooklev T. (2006), An efficient architecture for orthogonal wavelet transforms, IEEE Signal Processing Letters, 13, 2. ; Daubechies I. (1992), Ten Lectures on Wavelets, doi.org/10.1137/1.9781611970104 ; Dietl W. (2003), Protection of wavelet-based watermarking systems using filter parametrization, Signal Processing, 83, 10, 2095. ; Hu J. (2002), 2002 Congress on Evolutionary Computation. ; Kowalczuk Z. (2004), Genetic algorithms in multi-objective optimization of detection observers, 511. ; Lang M. (1996), The design of maximally smooth wavelets, null, 3, 1463. ; Lipiński P. (2008), On synthesis of 4-tap and 6-tap reversible wavelet filters, Przeglad Elektrotechniczny, 12, 284. ; Mallat S. (2008), A wavelet tour of signal processing. ; Meerwald P. (2001), Watermark security via wavelet filter parametrization, null, 3, 1027. ; Odegard J. (1996), New class of wavelets for signal approximation, null. ; Osowski S. (1994), Signal flow graphs and neural networks, Biological Cybernetics, 70, 4, 387. ; Osowski S. (1996), Application of SFG in learning algorithms of neural networks, null, 75. ; Regensburger G. (2007), Parametrizing compactly supported orthonormal wavelets by discrete moments, Applicable Algebra in Engineering, Communication and Computing, 18, 6, 583. ; Rieder P. (1998), Parameterization of orthogonal wavelet transforms and their implementation, IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing, 45, 2, 217. ; Shark L.-K. (2003), Design of optimal shift-invariant orthonormal wavelet filter banks via genetic algorithm, IEEE Trans. on Signal Processing, 83, 2579. ; Stasiak B. (2006), Fast orthogonal neural networks, Lecture Notes in Computer Science, 4029, 142. ; Stolarek J. (2009), Synthesis of a wavelet transform using neural network, null, 26. ; Stolarek J. (2011), On the properties of a lattice structure for a wavelet filter bank implementation: Part 1, J. of Applied Computer Science, 19, 1. ; Stolarek J. (2010), Improving digital watermarking fidelity using fast neural network for adaptive wavelet synthesis, J. of Applied Computer Science, 18, 1, 61. ; Stolarek J. (2009), Image Processing & Communications Challenges. ; Sweldens W. (1995), Wavelet Applications in Signal and Image Processing III, 68, doi.org/10.1117/12.217619 ; Vaidyanathan P. (1988), Lattice structures for optimal design and robust implementation of two-channel perfect-reconstruction QMF banks, IEEE Trans. on Acoustics, Speech and Signal Processing, 36, 1, 81. ; Wei D. (1997), Generalized coiflets: a new family of orthonormal wavelets, null, 2, 1259. ; Yatsymirskyy M. (2009), Lattice structures for synthesis and implementation of wavelet transforms, J. of Applied Computer Science, 17, 1, 133. ; Zou H. (1993), Parametrization of compactly supported orthonormal wavelets, IEEE Trans. on Signal Processing, 41, 3, 1428.#### DOI

10.2478/v10170-010-0024-5