Titlebook: Machine Learning and Intelligent Communications; Second International Xuemai Gu,Gongliang Liu,Bo Li Conference proceedings 2018 ICST Instit

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Low-Complexity Signal Detection Scheme Based on LLR for Uplink Massive MIMO Channel Selection Scheme (ASS). Both the schemes calculate the log likelihood ratios (LLRs). Based on the Single Dominant Eigenvector Detection (SDEDA), MDEDA searches transmitted signal candidates in multiple dominant eigenvector directions. For one thing, combined multiple eigenvectors, MDEDA attains bet

arrogant

Accurate Scale-Variable TrackingHowever, most of these methods focus on utilizing the CNN features for target location and neglect the changes of target scale, which may import error to the model and lead to drifting. In this paper, we propose a novel scale-variable tracking algorithm based on hierarchical CNN features, which lear

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Expediency

Clustering Analysis Based on Segmented Imagesf its segmentation and segmentation efficiency, and the physical characteristics of the image capturing device is another important factor. With high-resolution segmentation algorithm in image segmentation, we often find that the edge contour image segmentation is difficult to accurately determine,

mechanism

Channel Estimation Based on Approximated Power Iteration Subspace Tracking for Massive MIMO Systemsthe interference through dividing the observed signal into signal subspace and noise subspace. Due to the large computation, Massive MIMO systems could not afford the cost of traditional algorithms in spite of the high performance. In this paper, we propose a channel estimation algorithm based on su

Ondines-curse

BER Performance Evaluation of Downlink MUSA over Rayleigh Fading Channels a mirror constellation to optimize the modulated symbol mapping of the paired users. In this paper, bit error ratio (BER) performance of MUSA with successive interference cancellation (SIC) is investigated in a cellular downlink scenario over Rayleigh fading channel. Firstly, we elaborate downlink

hegemony

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