Referenced Items are not available for this document.
This brief studies the design of complex-valued variable digital filters (CVDFs) and their applications to the efficient arbitrary sample rate conversion for complex signals. The design of CVDFs using either the minimax or least-squares criteria is formulated as a convex optimization problem and solved using the second-order cone programming (SOCP). In addition, linear and convex quadratic inequality constraints can be readily incorporated. Design examples are given to demonstrate the effectiveness of the proposed approach.
Published in:
Circuits and Systems II: Express Briefs, IEEE Transactions on
(Volume:52
,
Issue:
7
)
Date of Publication: July 2005
- Page(s):
- 424 - 428
- ISSN :
- 1549-7747
- INSPEC Accession Number:
- 8509954
- Digital Object Identifier :
- 10.1109/TCSII.2005.850405
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 18 July 2005
- Issue Date :
- July 2005
- Sponsored by :
- IEEE Circuits and Systems Society
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