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Differential spatial modulation (DSM) is a novel attractive alternative technique for coherent spatial modulation (CSM) without channel state information (CSI) at the receiver. In this paper, iterative detection is firstly employed to improve the performance of DSM schemes. With the Hamming distance of two matrices reduced to the sum of simple elements, a lowcomplexity iterative detection scheme for...
In this paper, we design the low-complexity tree search-based detectors for generalized spatial modulation (GSM) aided single carrier (SC) systems over dispersive channels. Specifically, we commence with a brief review of the existing detection algorithms and then extend the sphere decoding-aided (SD) tree search algorithms designed for flat fading channels to GSM-aided SC systems. Moreover, a pair...
Generalized spatial modulation (GSM) is a recently proposed appealing multi-input multi-output (MIMO) transmission technique, which is capable of striking a tradeoff between the achievable transmission rate and the cost of radio frequency (RF) chains. In this letter, a novel low-complexity near-optimal soft decision (SoD)-aided detector is proposed for GSM, which considerably reduces the search space...
Optical coherence tomography (OCT) is an emerging biomedical imaging technique. In recent years, it is applied in diagnosing eye diseases such as glaucoma and age-related macular degeneration. 3D scans can be obtained by stacking 2D OCT scans into a volume. However, due to the relatively low scan speed, there exists severe misalignment between the 2D scans. In this paper, we propose an exhaustive...
In recent years, there has been increasing interest in the use of automatic computer-based systems for the detection of eye diseases such as glaucoma, age-related macular degeneration and diabetic retinopathy. However, in practice, retinal image quality is a big concern as automatic systems without consideration of degraded image quality will likely generate unreliable results. In this paper, an automatic...
The virtual network embedding problem is mainly concerned with assigning virtual networks onto the substrate network reasonably and efficiently. This paper proposes a virtual network mapping algorithm combining greedy virtual node mapping and virtual link mapping based on the weighted multi-commodity flow (WMCF). The cost coefficient of the multi-commodity flow problem is weighted by the ratio of...
This paper deals with the problem of imaging in deep atmospheric turbulence conditions such as the ones encountered in long near-horizontal propagation scenarios. Under such conditions, anisoplanatism as well as the presence of intensity scintillations prevent efficient use of conventional single-wavefront corrector adaptive optics systems. Multi-conjugate adaptive optics (MCAO) techniques have been...
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