Analytical optimization of CQF filter banks
Vitor M. M. da Silva, Luis A. S. V. de Sa · IEEE Transactions on Signal Processing · 1996
The optimization of subband filter banks for signal and image coding is normally dealt with by numerical means. It is shown that this optimization can be done analytically in the case of the prototype four-tap causal conjugate quadrature filter (CQF). The coding gain and aliasing energy are considered in the optimization. Using parametrizations of the prototype filter coefficients, it was found that the optimal filter is the regular Daubechies D/sub 2/ wavelet filter.