Zobrazeno 1 - 10 of 23 pro vyhledávání: '"Qi-Cong Peng"'
3
A Fast Algorithm for Large-Scale MDP-Based Systems in Smart Grid
Autor: Yingjie Zhou, Hua Xiao, Qi-Cong Peng, Huaizong Shao, Yang Fan
Publikováno v: Research Journal of Applied Sciences, Engineering and Technology. 5:213-217
In this study, we investigate the fast algorithms for the Large-Scale Markov Decision Process (LSMDP) problem in smart gird. Markov decision process is one of the efficient mathematical tools to solve the control and optimization problems in wireless
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::306ed13747f3f18f05b0b50fa2f90cc3
https://doi.org/10.19026/rjaset.5.5107
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8
A Robust Sound Source Localization Approach for Microphone Array with Model Errors
Autor: Huai-Zong Shao, Qi-Cong Peng, Hua Xiao
Publikováno v: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :2062-2067
In this paper, a robust sound source localization approach is proposed. The approach retains good performance even when model errors exist. Compared with previous work in this field, the contributions of this paper are as follows. First, an improved
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::634dcf7442d0e93215c1cd4093ab114c
https://doi.org/10.1093/ietfec/e91-a.8.2062
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9
Time-varying Channel Estimation and Symbol Detection Using Superimposed Training in OFDM Systems
Autor: Qi-Cong Peng, Wen Qin
Publikováno v: Wireless Personal Communications. 47:293-301
In mobile orthogonal frequency division multiplexing (OFDM) systems, time-varying channels result in severe intercarrier interference (ICI), and greatly degrade the system performance. So, it is necessary to estimate the accurate channel for equaliza
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::afc17ef06df16d5509494bd04c8cc25c
https://doi.org/10.1007/s11277-008-9462-9
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10
Wavelet Inpainting Based on p-Laplace Operator
Autor: Qi-Cong Peng, Yang-Dong Wu, Hong-Ying Zhang
Publikováno v: Acta Automatica Sinica. 33:546-549
The problem of filling in missing or damaged wavelet coefficients is considered in this paper. Chan, Shen, and Zhou have proposed two total variation (TV) wavelet inpainting models to solve this problem. The main benefit of TV model is that it can ke
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4bb3f867d2a248bf2ac5af95c7ff9ea1
https://doi.org/10.1360/aas-007-0546
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