Sparse superlattice signal processor

G - Physics – 06 – F

Patent

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354/167

G06F 17/15 (2006.01)

Patent

CA 1304822

ABSTRACT OF THE DISCLOSURE An optimal parametric signal processing structure, which receives autocorrelation coefficients, produces, in an additive sparse superlattice embodiment, quantities .lambda.?, defined as (l - km) (km-1 + l), and in a subtractive sparse superlattice embodiment, quantities .lambda.?, defined as (l + km) (l - km-1), where the quantities ki correspond to the lattice predictor coefficients, or PARCORS of the signal under study. Theadditive and subtractive sparse superlattice processing structures are strictly optimal in terms of hardware and complexity, yet lend themselves to implementation in a fully parallel, fully sequential, or parallel partitioned manner.

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