Algorithms and parallel VLSI architectures III: proceedings by M. Moonen, F. Catthoor

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By M. Moonen, F. Catthoor

A entire review of the present evolution of analysis in algorithms, architectures and compilation for parallel platforms is equipped by way of this publication.

The contributions concentration particularly on domain names the place embedded structures 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, clinical and car processing, photograph and video processing, television, multimedia, radar and sonar.

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

The book can be of substantial price to senior layout engineers and CAD managers within the business area, who want both to expect the evolution of commercially to be had layout instruments or to make use of the offered ideas of their personal R&D programmes.

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Additional 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

Figure 2 consti-T tutes a HSFG based on figure 1 and shows this first column explicitly (labelled Ry, 1 )" The left hand block represents the operator that calculates the rotation parameters, whilst the right hand block represents a p • p block of multiply/rotate cells which stores the matrix R -T y, 2 where 31 Pipelining the Inverse Updates RLS Array y, 2 triangular block consists of p rows of multiply/rotate cells whereas both the Note that the R -T rotation calculator and the first column contain (p+ 1) cells.

J. 1 Systolic A l g o r i t h m for RLS Identification with Inverse U p d a t e s The square-root RLS algorithm (23, 24) is implemented on a lower triangular systolic array. The transposed factor of the covariance matrix/V and the vector of parameter estimates 0 reside in the cells of the array, as shown in Fig. 1. The input vector/3 with initial value/3 = [0 ... 0] accumulates the expression V ~ (4). The input vector a, initiated by a = [1 0 ... 0] is necessary for proper pipelining [12] and its first element accumulates v ~ while being passed through the array.

M. ", Clarendon Press Oxford, 1992. [10] M. G. ", Electronic Letters 29, No. 1217-18, 1993. W. F Gaston Figure 1 9 HSFG for Matrix-Matrix Multiplication Figure 2" Projection along the k-axis Figure 3" HSFGs for pT/2cT and I _z- c $ l r HSFG Representation of the SRCKF zT CT ~T~ 1L\ 9 V_ t i 1,/" pT/2cT i [z_Cx]T Figure 4" HSFG for C T Products , , , 0 /lk xT~ IIV 9 i ! W. F Gaston 46 pT/2cT pT/'2AT .......... Cx]T V:/2 xTAT ] Ve'I/2cpTAT I,_ _f/. Complement l v:: i NV/ Transformations , V VrI/2CpTAT xT Figure 8 9HSFG for the Generation of the Updated State Estimate zT ' cT ....

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