Nov 10, 2009 · In this paper, we consider a low-complexity detection technique referred to as a reduced dimension maximum-likelihood search (RD-MLS).

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In this paper, we consider a low-complexity ML detection technique referred to as reduced dimension ML search (RD-MLS). RD-MLS directly refers the division ...

In this paper, we consider a low-complexity ML detection technique referred to as reduced dimension. ML search (RD-MLS). RD-MLS directly refers the division ...

In this paper, we propose a near maximum likelihood (ML) decoding technique, which reduces the computational complexity of the exact ML decoding algorithm.

Bibliographic details on Low-complexity decoding via reduced dimension maximum-likelihood search.

In this paper, we propose a near maximum likelihood (ML) decoding technique, which reduces the computational complexity of the exact ML decoding algorithm.

Jun 27, 2012 · It has been shown that the Maximum-Likelihood (ML) detection in an SM system involves joint detection of the transmit antenna index and the ...

In this paper, we propose a near maximum likelihood (ML) decoding technique, which reduces the computational complexity of the exact ML decoding algorithm.

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