Design of a Simple Orthogonal Multiwavelet Filter by Matrix Spectral Factorization
نویسندگان
چکیده
منابع مشابه
1. FIR Filter Design via Spectral Factorization and Convex Optimization 1 FIR Filter Design via Spectral Factorization and Convex Optimization
We consider the design of nite impulse response (FIR) lters subject to upper and lower bounds on the frequency response magnitude. The associated optimization problems, with the lter coe cients as the variables and the frequency response bounds as constraints, are in general nonconvex. Using a change of variables and spectral factorization, we can pose such problems as linear or nonlinear conve...
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This paper is written with two purposes in mind. First, it points out some mistakes made in the paper \Optimal deconvolution lter design based on orthogonal principle", recently published in this journal. Secondly, in order to sort out the reason for those mistakes, the relations between inner{ outer factorization, spectral factorization, whitening lters and Diophantine equations in MMSE lter d...
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We present a new semide nite programming approach to FIR lter design with arbitrary upper and lower bounds on the frequency response magnitude. It is shown that the constraints can be expressed as linear matrix inequalities (LMIs), and hence they can be easily handled by recent interior-point methods. Using this LMI formulation, we can cast several interesting lter design problems as convex or ...
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We present a new semideenite programming approach to FIR lter design with arbitrary upper and lower bounds on the frequency response magnitude. It is shown that the constraints can be expressed as linear matrix inequalities (LMIs), and hence they can be easily handled by recent interior-point methods. Using this LMI formulation, we can cast several interesting lter design problems as convex or ...
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ژورنال
عنوان ژورنال: Circuits, Systems, and Signal Processing
سال: 2019
ISSN: 0278-081X,1531-5878
DOI: 10.1007/s00034-019-01240-9