… But since our sphere decoding algorithm will only search for lattice points using the upper
half of the 2𝑁𝑁 -dimensional received signal vector 𝒛𝒛, as per [15], the lower half only …

… been published on this topic proving that the application of deep learning to MIMO decoding
can drastically reduce the complexity of the decoder while preserving its performance [23]–[…

… Sphere Decoders offer much higher detection accuracy than simple linear equalizers, at
the cost of much more expensive accelerators. Some cost increase is unavoidable since …

… been proposed, eg, MIMO detectors based on sphere decoding [13]–[15], … decoders that
require soft input to achieve superior decoding performance. Sphere decoding and list decoding …

… In this study, we proposed a general deep learning framework for decoding and mapping
ongoing brain task states from whole-brain fMRI signals of humans. After training and testing it …

… In this paper, a low-complexity detection algorithm inspired by sphere decoding is … -bit-sphere-decoding
(OSD). The key idea of the OSD is to perform the proposed MWD over a sphere, …

… Recently, deep learning (DL) has shown great … decoding algorithms. In Section 15.3, three
major DL-based approaches for decoding polar codes are presented in terms of decoding …

… sphere decoding with increasing radius search (S-SD-IRS) algorithm is proposed, where the
radiuses of the decoding … Jing, “Deep learning-based sphere decoding,” IEEE Transactions …

… better decoding results, we use the deep learning to modify the parameters in BP decoding
… In addition, there are spherical decoding algorithms and BP decoding algorithms [7]. In the …

… For the “sphere decoding” algorithm of Fincke and Pohst we find analytic expressions for
the expected complexity. We show that for a wide range of signal-to-noise ratios the expected …