Abstract
Lifting algorithm doesn’t depend on the Fourier transform, reduces the computational complexity and it’s very suitable for hardware implementation. The hardware realization of 3-level lifting wavelet transform is introduced in the paper. It optimized the structure, and saved the Hardware resources more than 50% at the situation of speed priority and area priority.
The funding support is provided by Y1110632, J-11005 and J-11006.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Lina, S., Guangchun, G., Cui, Z., Shengying, Z. (2012). Hardware Optimization of 3-Level Lifting Wavelet Transform. In: Zhang, Y. (eds) Future Communication, Computing, Control and Management. Lecture Notes in Electrical Engineering, vol 142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27314-8_33
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DOI: https://doi.org/10.1007/978-3-642-27314-8_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27313-1
Online ISBN: 978-3-642-27314-8
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