Paper Info
Title
Design of sparse frequency-response masking filters with arbitrary delay using li-Minimization
Abstract
The frequency-response masking (FRM) filters can achieve arbitrary delay if all of the subfilters are nonlinear phase finite impulse response (FIR) filters. However, its arithmetic complexity is inevitably increased. In this paper, we propose a three-stage method to increase the number of zero-valued coefficients. In Stage I and Stage II of our approach, the l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> -norm of the coefficient values is included as a component of the objective function to be minimized. Simulation results show that the proposed method produces arbitrary delay FRM filters with significantly reduced arithmetic complexity compared to the method without optimizing the sparsity.
Year
DOI
Venue
2017
10.1109/ICDSP.2017.8096113
2017 22nd International Conference on Digital Signal Processing (DSP)
Keywords
Field
DocType
sparse frequency-response masking filters,nonlinear phase finite impulse response filters,zero-valued coefficients,coefficient values,arithmetic complexity,arbitrary delay FRM filters,l1-minimization
Mathematical optimization,Nonlinear system,Masking (art),Pattern recognition,Computer science,Frequency response masking,Algorithm,Minification,Artificial intelligence,Finite impulse response
Conference
ISBN
Citations 
PageRank 
978-1-5386-1896-7
0
0.34
References 
Authors
8
3
Name
Order
Citations
PageRank
Qinglai Liu112.08
Yong Ching Lim242477.44
Zhiping Lin329137.46