Sentence examples for sphere detection from inspiring English sources

The aim of this paper is to show that this computational burden can be drastically reduced, with little or no loss of performance, by applying a suitable version of the sphere detection (SD) algorithm.

Recent work on sphere detection algorithms may be used to alleviate this computational cost[9].

In this paper, an efficient sphere detection (SD) scheme for multiple-input multiple-output (MIMO) systems is presented.

Nevertheless, sphere detection [17] can be used for efficiently performing the exhaustive search required to implement the ML estimation.

Sphere detection has been introduced in MIMO systems to achieve maximum likelihood (ML) or near-ML estimation with reduced complexity.

So far, many detection methods for SEFDM system have been proposed such as iterative detection (ID) [6], sphere decoders (SD), truncated singular value decomposition (TSVD), fixed complexity sphere decoder (FSD), combining truncated singular value decomposition and fixed sphere detection (TSVD-FSD) and combining iterative detection and fixed sphere detection (ID-FSD) [7, 8].

Sphere detection-based MLD usually starts the search procedure using the zero forcing (ZF) solution as the centre of the sphere.

Still, sphere-detection-based algorithms remain very challenging, especially given the nondeterministic complexity.

A second chemical treatment, called B-Sphere Cryptosporidium Detection, also under development, will find traces of cryptosporidium in municipal water supplies and swimming pools.

One product, R-Sphere Crypto/Giardia Detection, is essentially a box of chemicals that, when mixed in vials with high-quality DNA samples, can be used to test for the presence or absence of an infection.

Given this limitation, classification algorithms are much more commonly applied in the network intrusion detection sphere.