H-2 Design of Model-Based Nominal and Robust
Discrete Time Filters
M Sternad and
Chapter 5 in M Grimble and V Kucera, eds:
A Polynomial Approach to H-2 and H-infinity
Robust Control Design.
54 pp, Springer-Verlag, London, 1996.
© 1996 Springer-Verlag.
Also: Internal Report UPTEC 96071R, Dept. of Technology,
Polynomial methods were originally developed with control
applications in mind,
but have turned out to be very useful also within
digital signal processing and communications.
The chapter outlines a polynomial equations framework for
nominal and robust multivariable linear filtering.
The aim is also to illustrate
utility of the polynomial mehtods for solving
signal processing problems in digital communications.
- 5.1 Introduction
- 5.2 Wiener filter design based on polynomial equations
- 5.3 Design of robust filters in input-output form
based on averaged H-2 criteria
- 5.4 Robust H-2 filter design based on state-space models with
- 5.5 Parameter tracking
- Related publications:
by L-J Brännmark, Jan. 2011, using MIMO feedforward design for
robust sound field control for audio reproduction.
by K Öhrn, May 1996, with more details on Section 5.3
IEEE PIMRC'95: conference paper,
with more details on multivariable DFE's.
in Automatica 1993 on robust design for SISO models.
Paper in IEEE Trans. AC 1995 on
robust design for MIMO models.
Paper in IEEE Trans. SP 1991 on
(nominal) Wiener filter design using polynomial equations.
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