EURASIP Journal on Applied Signal Processing
Simplified design of low-delay oversampled NPR GDFT filterbanks
EURASIP Journal on Applied Signal Processing
Design of smallest size two-dimensional linear-phase FIR filters with magnitude error constraint
Multidimensional Systems and Signal Processing
Peak constrained least-squares QMF banks
Signal Processing
Design of 2-D IIR Filters Using Two Error Criteria with Genetic Algorithm
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Optimized analog filter designs with flat responses by semidefinite programming
IEEE Transactions on Signal Processing
Optimal design of nonlinear-phase FIR filters with prescribed phase error
IEEE Transactions on Signal Processing
Design of arbitrary complex coefficient WLS FIR filters with group delay constraints
IEEE Transactions on Signal Processing
Realization of reduced-delay finite impulse response filters for audio applications
Digital Signal Processing
Computational Optimization and Applications
Empirical formula for designing a class of linear phase FIR single band PCLS filters
Digital Signal Processing
| Hi-index | 35.69 |
We presented the basic concepts for peak-constrained least-squares (PCLS) optimization in previous papers. We present advanced PCLS optimization concepts in this paper. This paper discusses only a few of the many ways that PCLS design problems can be formulated. We believe that the PCLS optimality criterion can be customized to fit virtually any practical application. For example, PCLS optimization can readily be used to design equalizers in the prefilter-equalizer or interpolated FIR implementations of filters