Optimization of filter banks using cyclostationary spectral analysis

This paper proposes a design method of optimal biorthogonal FIR filter banks that minimize the time-averaged mean-squared error (TAMSE) when the high-frequency subband signal is dropped. To study filter hanks from a statistical point of view, cyclostationary spectral analysis is used since the output of the filter bank for a nide-sense stationary input is cyclostationary. First, the cyclic spectral density of the output signal is derived and an expression for the TAMSE is presented. Then, optimal filter banks are given by minimizing the TMSE with respect to the coefficients of the filters under the biorthogonality condition. By imposing the additional constraints on the coefficients, the optimal biorthogonal linear phase filter bank can be obtained.