Generalised modal realisation as a practical and efficient tool for FWL implementation

Finite word length (FWL) effects have been a critical issue in digital filter implementation for almost four decades. Although some optimisations may be attempted to get an optimal realisation with regards to a particular effect, for instance the parametric sensitivity or the round-off noise gain, the purpose of this article is to propose an effective one, i.e. taking into account all the aspects. Based on the specialised implicit form, a new effective and sparse structure, named ρ -modal realisation, is proposed. This realisation meets simultaneously accuracy (low sensitivity, round-off noise gain and overflow risk), few and flexible computational efforts with a good readability (thanks to sparsity) and simplicity (no tricky optimisation is required to obtain it) as well. Two numerical examples are included to illustrate the ρ -modal realisation's interest.

[1]  M. Gevers,et al.  Performance analysis of a new structure for digital filter implementation , 2000 .

[2]  Alan V. Oppenheim,et al.  Discrete-Time Signal Pro-cessing , 1989 .

[3]  Clifford T. Mullis,et al.  Synthesis of minimum roundoff noise fixed point digital filters , 1976 .

[4]  Markus Rupp,et al.  Automated floating-point to fixed-point conversion with the fixify environment , 2005, 16th IEEE International Workshop on Rapid System Prototyping (RSP'05).

[5]  Gang Li,et al.  Roundoff noise analysis of two efficient digital filter structures , 2006, IEEE Transactions on Signal Processing.

[6]  Seehyun Kim,et al.  Fixed-point optimization utility for C and C++ based digital signal processing programs , 1998 .

[7]  Patrick E. Mantey Eigenvalue sensitivity and state-variable selection , 1968 .

[8]  Wei-Yong Yan,et al.  Optimal finite-precision approximation of FIR filters , 2002, Signal Process..

[9]  Yong Ching Lim,et al.  A low-voltage CMOS OTA with rail-to-rail differential input range , 2000 .

[10]  Gang Li,et al.  An efficient controller structure with minimum roundoff noise gain , 2007, Autom..

[11]  Graham C. Goodwin,et al.  Digital control and estimation : a unified approach , 1990 .

[12]  Philippe Chevrel,et al.  A Unifying Framework for Finite Wordlength Realizations , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.

[13]  L. Jackson Roundoff-noise analysis for fixed-point digital filters realized in cascade or parallel form , 1970 .

[14]  Sheng Hwang Dynamic range constraint in state-space digital filtering , 1975 .

[15]  Tryphon T. Georgiou,et al.  On stability and performance of sampled-data systems subject to wordlength constraint , 1994 .

[16]  James Demmel,et al.  LAPACK Users' Guide, Third Edition , 1999, Software, Environments and Tools.

[17]  Daniel Ménard,et al.  Roundoff noise analysis of finite wordlength realizations with the implicit state-space framework , 2007, 2007 15th European Signal Processing Conference.

[18]  Thibault Hilaire Low-Parametric-Sensitivity Realizations With Relaxed $L_{2}$-Dynamic-Range-Scaling Constraints , 2009, IEEE Transactions on Circuits and Systems II: Express Briefs.

[19]  Brian D. O. Anderson,et al.  Optimum realizations of sampled-data controllers for FWL sensitivity minimization , 1995, Autom..

[20]  Jack Dongarra,et al.  LAPACK Users' Guide, 3rd ed. , 1999 .

[21]  Z. Zhao,et al.  On the generalized DFIIt structure and its state-space realization in digital filter implementation , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

[22]  Philippe Chevrel,et al.  Finite wordlength controller realisations using the specialised implicit form , 2010, Int. J. Control.

[23]  D. V. Bhaskar Rao Analysis of coefficient quantization errors in state-space digital filters , 1986, IEEE Trans. Acoust. Speech Signal Process..