Design of Constrained Causal Stable IIR Filters Using a New Second- Order-Cone-Programming-Based Model-Reduction Technique-Reference-Cited by-同舟云学术

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Design of Constrained Causal Stable IIR Filters Using a New Second- Order-Cone-Programming-Based Model-Reduction Technique

Published:2007-02 Issue:2 Volume:54 Page:107-111
ISSN:1057-7130
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Chan S. C.,Tsui K. M.,Tse K. W.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx5/8920/4100854/04100857.pdf?arnumber=4100857

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Model Reduction of Discrete-Time Interval Type-2 T–S Fuzzy Systems;IEEE Transactions on Fuzzy Systems;2018-12

2. Design of IIR Digital Filters with Arbitrary Flatness Using Iterative Quadratic Programming;Journal of Electrical and Computer Engineering;2015

3. Design of IIR filters using a pole-zero mapping approach;Digital Signal Processing;2013-07

4. Minimax Design of Low-Complexity Even-Order Variable Fractional-Delay Filters Using Second-Order Cone Programming;IEEE Transactions on Circuits and Systems II: Express Briefs;2011-10

5. Minimax Design of IIR Digital Filters Using SDP Relaxation Technique;IEEE Transactions on Circuits and Systems I: Regular Papers;2010-02

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