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Sun Enchang

Researcher at Beijing University of Technology

Publications -  10
Citations -  51

Sun Enchang is an academic researcher from Beijing University of Technology. The author has contributed to research in topics: Wireless & Orthogonal frequency-division multiplexing. The author has an hindex of 5, co-authored 10 publications receiving 50 citations. Previous affiliations of Sun Enchang include Xidian University.

Papers
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Journal ArticleDOI

Raised Cosine-Like Companding Scheme for Peak-to-Average Power Ratio Reduction of SCFDMA Signals

TL;DR: This paper proposes a Raised Cosine-like companding scheme to reduce the peak-to-average power ratio (PAPR) of SCFDMA signals and shows that this scheme can offer better PAPR reduction by properly choosing the parameters.
Patent

Incremental iterative time-varying channel evaluation and inter carrier interference (ICI) elimination method of fast orthogonal frequency division multiplexing (OFDM) system

TL;DR: In this paper, an incremental iterative time-varying channel evaluation and inter carrier interference elimination method of fast orthogonal frequency division multiplexing (OFDM) system is applied in the field of wireless communication channel evolution, and is used for channel evaluation based on pilot frequency in the circumstance that a severe ICI influence of a time-changing channel occurs.
Proceedings ArticleDOI

Power Function Companding Scheme for Peak-to-Average Power Ratio Reduction of SC-FDMA Signals

TL;DR: A power-function companding scheme to reduce the peak-to-average power ratio (PAPR) of SC-FDMA signals and can offer better PAPR reduction by properly choosing the control parameters.
Patent

Computing and wireless resource cooperative dispatching method in mobile cloud video transmission

TL;DR: In this paper, a computing and wireless resource cooperative dispatching method in mobile cloud video transmission is proposed. But the method comprises the steps that a system model, namely a cloud network abstract model is established; a video distortion model was established, an optimization target was provided; a random Restless Bandit system was established; and cloud service selecting and bandwidth distributing are carried out.
Patent

Randomization sampling lattice decoding method based on limited distance decoding

TL;DR: In this paper, a randomization sampling lattice decoding method based on limited distance decoding was proposed, where the depth-first search strategy was used to obtain candidate lattice points in a lattice reduction region and decoded output.