An efficient architecture for 1-D discrete biorthogonal wavelet transform

Biorthogonal wavelets offer improved coding gain and an efficient treatment of signal boundaries. In this paper, we propose a high-speed/high-throughput architecture for 1-D Discrete Biorthogonal Wavelet Transform (DBWT). This architecture performs 1-D DBWT decomposition of an N₀-sample input signal with K decomposition levels in N₀/2 clock cycles. Therefore, it is at least twice as fast as other known DBWT architectures. The architecture offers efficient hardware utilisation for VLSI implementation by combining the linear phase property of biorthogonal filters with decimation.