A high-speed/low-power architecture for 1D discrete biorthogonal wavelet transform

Biorthogonal wavelets offer improved coding gain and an efficient treatment of boundaries in signal coding applications. In this paper, we propose a scalable pipelined architecture that performs 1D discrete biorthogonal wavelet transform (DBWT) with K decomposition levels in N/sub 0//2 clock cycles. Therefore, it is at least twice as fast as other known DBWT architectures. The performance of the architecture has been verified and evaluated by implementations on Xilinx Virtex-2000E FPGA chip. Very high data-throughput rates up to 320 MegaSamples/sec, with efficient hardware utilisation have been achieved.