Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Multirate systems and filter banks
Multirate systems and filter banks
Digital signal processing (3rd ed.): principles, algorithms, and applications
Digital signal processing (3rd ed.): principles, algorithms, and applications
Auralization: Fundamentals of Acoustics, Modelling, Simulation, Algorithms and Acoustic Virtual Reality
A Functional Analysis Approach to Subband System Approximation and Identification
IEEE Transactions on Signal Processing
Comments on “On the design of pole-zero approximations usinga logarithmic error measure”
IEEE Transactions on Signal Processing
Asymptotic properties of subband identification
IEEE Transactions on Signal Processing
Greed is good: algorithmic results for sparse approximation
IEEE Transactions on Information Theory
Time-frequency synthesis of noisy sounds with narrow spectral components
IEEE Transactions on Audio, Speech, and Language Processing
Hi-index | 35.68 |
Using the subband technique, an LTI system can be implemented by the composition of an analysis filterbank, followed by a transfer matrix (subband model) and a synthesis filterbank. The advantage of this approach is that it offers a good tradeoff between latency and computational complexity. In this paper we propose an optimization method for approximating an LTI system using the subband technique. The proposed method includes optimal allocation of parameters from different FIR entries of the subband model, while keeping constant the total number of parameters, for a better utilization of the available coefficients. The optimization is done in a weighted least-squares sense considering either linear or logarithmic amplitude scale. Simulation results demonstrate the advantages of the proposed method when compared with classical implementation approaches using pole-zero transfer functions or segmented FFT algorithms.