A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
VLSI implementation of discrete wavelet transform
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Foundations of Wavelet Networks and Applications
Foundations of Wavelet Networks and Applications
A Common Architecture For The DWT and IDWT
ASAP '96 Proceedings of the IEEE International Conference on Application-Specific Systems, Architectures, and Processors
IEEE Transactions on Signal Processing
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In a multi-input an multi-output feedforward wavelet neural network, orthogonal wavelet basis functions are used as activate function instead of sigmoid function of feedforward network. This paper adresses the solution on processing biological data such as cardiac beats, audio and ultrasonic range, calculating wavelet coefficients in real time, with processor clock running at frequency of present ASIC's and FPGA. The Paralell Filter Architecture for DWT has been improved, calculating wavelet coefficients in real time with hardware reduced up to 60%. The new architecture, which also processes IDWT, is implemented with the Radix-2 or the Booth-Wallace Constant multipliers. One integrated circuit Encoder/Decoder, ultrasonic range, is presented.