On robust signal reconstruction in noisy filter banks
Signal Processing - Content-based image and video retrieval
Frequency-selective KYP lemma, IIR filter, and filter bank design
IEEE Transactions on Signal Processing
Multirate filterbank design: a relaxed commutant lifting approach
IEEE Transactions on Signal Processing
| Hi-index | 35.69 |
A mixed norm performance measure is presented to design the synthesis filters of a multirate filterbank. The mixed norm performance measure is based on the energy as well as the peak value of the error signal. Mathematically, the performance measure minimizes the l2 -norm of the error signal subject to the l∞-norm of the error being bounded by some positive value v (this imposes a bound on the peak value of the error signal). The design problem is shown to be that of a mixed ℋ2/ℋ∞ optimization problem. The theory of linear matrix inequalities (LMIs) offers a tractable solution to such multiobjective synthesis problems. The synthesis filters designed with the new performance measure are compared with those obtained by similar induced norm minimization techniques in terms of degree of reconstruction, order of the synthesis filters, SNR, and aliasing distortion