Neural realization of fast linear filters

M. Jacymirski1, P.S. Szczepaniak1
1Institute of Computer Science, Technical University of Lódź, Lodz, Poland

Tóm tắt

The paper presents a neural network architecture for linear filtering of signals based on a scheme for fast calculation of orthogonal transformations. Compared to the known standard filtering schemes the network offers high training efficiency accompanied by substantial simplicity of realization. Additionally, the same basic network topology enables realization of diverse transformations.

Từ khóa

#Nonlinear filters #Neural networks #Filtering #Maximum likelihood detection #Neurons #Discrete Fourier transforms #Computer science #Computer architecture #Network topology #Image coding

Tài liệu tham khảo

10.1109/78.212760 10.1109/TASSP.1984.1164399 jacymirski, 2001, A Novel Method of Building Fast Fourier Transform Algorithms, Proceedings of the International Conference on Signals and Electronic Systems (ICSES'2001), 415 jacymirski, 2000, Fast Learning Neural Network for Linear Filtering of Signals, Proc 5th Conf Neural Netw Soft Comput, 130 yatsymirskyy, 1999, Lattice Structures for Fourier, Hartley, Cosine and Sine Transformations, Modelling and Information Technologies, 173 bracewell, 1986, The Hartley Transform fa-long, 1998, Applied Neural Networks for Signal Processing