Minimax and WLS Designs of Digital FIR Filters Using SOCP for Aliasing Errors Reduction in BI-DAC

Minimax and WLS Designs of Digital FIR Filters Using SOCP for Aliasing Errors Reduction in BI-DAC

This paper presented the optimal minimax and weighted least squares (WLS) methods for designing digital finite impulse response (FIR) filters to reduce the aliasing errors generated by the non-ideality of analog filters and mixers in bandwidth interleaving digital-to-analog converter (BI-DAC). To sa...

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Bibliographic Details
Main Authors: Xing Yang, Houjun Wang, Ke Liu, Yindong Xiao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Minimax and weighted least squares (WLS) designs
digital FIR filter
second-order cone programming (SOCP)
aliasing errors reduction
linear equality and convex quadratic inequality constraints
Online Access:https://ieeexplore.ieee.org/document/8606907/

Internet

https://ieeexplore.ieee.org/document/8606907/

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