Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
IEEE Transactions on Signal Processing
Efficient design of oversampled NPR GDFT filterbanks
IEEE Transactions on Signal Processing
Oversampled cosine-modulated filter banks with arbitrary systemdelay
IEEE Transactions on Signal Processing
Peak-constrained least-squares optimization
IEEE Transactions on Signal Processing
On the parameterization of positive real sequences and MA parameterestimation
IEEE Transactions on Signal Processing
Steady-state performance limitations of subband adaptive filters
IEEE Transactions on Signal Processing
Design of low-delay nonuniform oversampled filterbanks
Signal Processing
Optimization of synthesis oversampled complex filter banks
IEEE Transactions on Signal Processing
Hi-index | 0.00 |
We propose an efficient algorithm for designing the prototype filters of oversampled, near-perfect reconstruction (NPR), GDFT modulated filterbanks (FB) with arbitrary delay. We describe simplified conditions for imposing NPR, posed on the frequency response of the distortion transfer function and on the stopband attenuation of the prototype filters. Given the analysis prototype, we show that the minimization of the stopband energy of the synthesis prototype, subject to the simplified NPR constraints, can be expressed as a convex optimization problem. Our algorithm consists of initialization with the prototype of a near-orthogonal FB-- which can also be designed via convex optimization--and then successive optimization of the synthesis and analysis prototypes. We give design examples, discuss the properties of the obtained FBs, and present synthetic echo control experiments. The presented results show that, for a given delay, our algorithm produces FBs with significantly better properties than the near-orthogonal FBs.