By M. Moonen, F. Catthoor

ISBN-10: 0444821066

ISBN-13: 9780444821065

A entire evaluation of the present evolution of analysis in algorithms, architectures and compilation for parallel structures is supplied by means of this publication.

The contributions concentration particularly on domain names the place embedded platforms are required, both orientated to application-specific or to programmable realisations. those are the most important in domain names akin to audio, telecom, instrumentation, speech, robotics, scientific and automobile processing, snapshot and video processing, television, multimedia, radar and sonar.

The ebook might be of specific curiosity to the tutorial neighborhood as a result of particular descriptions of analysis effects awarded. additionally, many contributions function the "real-life" functions which are liable for using examine and the effect in their particular features at the methodologies is assessed.

The e-book can also be of substantial worth to senior layout engineers and CAD managers within the commercial area, who want both to expect the evolution of commercially to be had layout instruments or to make use of the provided recommendations of their personal R&D programmes.

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Extra info for Algorithms and parallel VLSI architectures III: proceedings of the International Workshop, Algorithms and Parallel VLSI Architectures III, Leuven, Belgium, August 29-31, 1994

Example text

4 HSFG FOR THE SQUARE-ROOT COVARIANCE KALMAN FILTER A full HSFG for the square-root covarlance Kalman filter can be built up by considering the following steps: (i) Formation of the pre-array in equation 1. (il) Error Covarlance Update : PT/2(k). (iii) State Update : ~(k) . W. 1 Formation Of The P r e - A r r a y The various product terms included in the pre-array fall into two categories: (i) Post-multiplication by C r. (ii) Post-multiplication by Ar. 1 The computation of PT/=CT and ~. - C ~ T can be described by using the HSFGs shown in figure 3.

N x3 0 y, 0 e yolt . nl) 2 + (1~-1~)2 Y;n~ c ffi Y~out S ffi p_~ --B . . . -1 Yout X, Kin - 4-0 - eout ~. ~ ein ~ S, C tin X, Kout, rou t 9 yyl 9 .. 9 .. . . Xl' ICy, 1 t~ 1 x2' ICy,2t~ 2 ] x3' ~:y, 3t~ 3 I . . Y, ~:y, 4 e~l eou t = ein + rinX D Figure 1. SFG for the inverse updates algorithm L~~ . , l L qo J A SFG for the inverse updates algorithm is shown in figure 1 for the case p=3. This SFG is obtained by combining SFGs for the three basic operations involved in the inverse updates algorithm: a matrix-vector product operator[5]; a rotation operator to update Ry T [12]; and the operator for the rotation calculation defined in equation (8).

Plemmons, "Least Squares Modifications with Inverse Factorisation: Parallel Implications", J. Comput. , Vol 27, pp 109-127. 1989. [10] I. K. Proudler and J. G. , -Vis. , Vol 141, pp 19-26, 1994 [11] R. Schreiber, "Implementation of Adaptive Array Algorithms", IEEE Trans. ASSP, Vol 34, pp 1038-45, 1986. [12] T. J. Shepherd, J. G. McWhirter and J. E. Hudson, "Parallel Weight Extraction from a Systolic Adaptive Beamformer" in "Mathematics in Signal Processinglr', J. G. McWhirter (Ed), Clarendon Press, Oxford, pp 775-790, 1990.

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Algorithms and parallel VLSI architectures III: proceedings of the International Workshop, Algorithms and Parallel VLSI Architectures III, Leuven, Belgium, August 29-31, 1994 by M. Moonen, F. Catthoor


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