Designing an Architecture for Calculating Second-Generation Wavelet Transform

Ameneh Akbari and A. Vafaei (Iran)


Signal processing, Wavelet transform, second generation, lifting scheme, Hardware design and simulation.


Wavelet transform is one of the most powerful time/frequency domain transforms in signal processing applications. Although developed recently, due to its advantages such as time domain precision, it has gained high popularity in signal processing applications such as data compression, speech and video signal analysis. In most cases transform is implemented in software, and yet a few special purpose hardware has been developed for this kind of transform. Since hardware usually works faster than software, for real time applications where speed is a vital factor, hardware implementation is more practical. In this paper a novel architecture is introduced to calculate the transform coefficients for the second generation wavelet, based on lifting scheme. The proposed architecture is capable of calculating the coefficients of six kinds of mother wavelets: Haar, D4, D6, cubic B-spline, D5/3 and D9/7. The overall structure and the results of simulation are also presented to prove the efficiency of the method.

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