作者: Jun‐Zheng Jiang , Fang Zhou , Shan Ouyang
DOI: 10.1049/IET-SPR.2012.0327
关键词: Adaptive filter 、 Network synthesis filters 、 Composite image filter 、 Filter design 、 Mathematics 、 Filter bank 、 Algorithm 、 Gradient method 、 Prototype filter 、 Conjugate gradient method 、 Control theory
摘要: This study presents a novel property of the two-dimensional DFT-modulated filter bank and an efficient algorithm for designing with large scale (with number subbands filters spatial support). It is firstly shown that overall transfer function aliasing functions can be simply represented multiplication prototype their modulated filters; new used to remarkably reduce calculation these functions. On other hand, design problem formulated into unconstrained optimisation problem. Based on gradient vector, conjugate method utilised solve The convergence proposed analysed. Numerical examples comparisons methods are included show performance algorithm.