Delhi woke up to cooler air and rain on Friday after days of punishing heat. The timing, however, raised a question: how did the national capital cool down just as the emergence of El Niño, a climate ...
Abstract: This paper investigates efficient maximum-likelihood (ML) decoding of low-density parity-check (LDPC) codes over erasure channels. A set of algorithms, referred to as pivoting algorithms, is ...
0 | The Death of Intellect, in the Name of 'Integration' When facing recent AI, especially the GPT-5 class, I am sometimes struck by a strange sense of suffocation. No matter what I ask, I get a ...
The implementation sphere decoding algorithms(single tree seach)for seeking the maximum-likelihood solution for a set of symbols transmitted over the MIMO channel ...
The theoretical alternative—maximum-likelihood decoding—has long been known to be optimal but was considered computationally impossible for practical systems, belonging to the notoriously difficult #P ...
Abstract: Guessing random additive noise decoding (GRAND) is a recently proposed universal maximum likelihood (ML) decoder for short-length and high-rate linear block codes. Soft-GRAND (SGRAND) is a ...
One crucial test for any quantitative model of the brain is to show that the model can be used to accurately decode information from evoked brain activity. Several recent neuroimaging studies have ...
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