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Group the coefficients into blocks (or groups) of size L.
block_partition2d(x, L)
(noisy) wc at a given scale.
block size.
out partition of coefficients by block.
out
invblock_partition2d
# NOT RUN { x <- matrix(rnorm(2^2), ncol=2) j0 <- 0 qmf <- MakeONFilter('Haar') wc <- FWT2_PO(x, j0, qmf) L <- 2 wcb <- block_partition2d(wc, L) # }
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