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In this letter, we investigate an efficient ADMM-based iterative decoder for binary LDPC codes. First, we build an mathematical programming equivalence of the maximum likelihood (ML) decoding problem ...
Customized binary convolutional neural network (BCNN) architectures, which are implemented on hardware technologies, give significant advantages for computational efficiency and hardware acceleration.
When trying to use iterative reconstruction on a sample dataset that has a geo.COR value present after data load, the Ax Python function fails with the following error: ...
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