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We consider in this paper the problem of reconstructing block-sparse signals with unknown block partitions.
The standard approach to reconstructing blocks of 'conserved synteny' is to first define a homolog assignment of gene copies.
The block distortion (DB) is the distortion between the original and the reconstructed block.
Then the input image is reconstructed block by block in the receiver part using a mathematical model that is proposed.
First, the non-decoded coefficients are forced to be zero in B OBMC and in the partially reconstructed block B Rec.
In the method, first the clasified enesrgy blocks (CEB) and clasified pattern blocks (CPB) sets were constructed and any image data can be reconstructed block by block using a block scaling coefficient and the index numbers of the CEPBs placed in the CEB and CPB.
The computation time for reconstructing 256 blocks in an image could be reduced as follows.
However, these algorithms introduce an overhead of extra work needed for coding, forwarding, and reconstructing code blocks.
The MDL principle was adopted to determine the proper set of the synthesized CS tasks for reconstructing the block-sparse signal.
The newly produced task is applied together with the previously synthesized CS tasks as well as the original CS task in EMBSBL for jointly reconstructing the block-sparse signal.
However, to reduce the number of connected components each block contains to one such that we can fully reconstruct each block, we need to use a very high-coverage ratio such as 100.
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