Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jianpeng Dong"'
Autor:
Jun Wang, Jianpeng Dong
Publikováno v:
Advances in Mechanical Engineering, Vol 16 (2024)
Improving gear precision and achieving green sustainability in gear machining are two important aspects of the gear manufacturing process. However, to achieve these two goals simultaneously, it may be necessary to make trade-offs when selecting the g
Externí odkaz:
https://doaj.org/article/c7b2d2e58c42487eb6d97084713c8ea8
Publikováno v:
KSCE Journal of Civil Engineering.
Publikováno v:
Mechanism and Machine Theory. 176:105036
Publikováno v:
Filomat. 32:1535-1546
This paper presents a comprehensive multi-parameter diagnosis method based on multiple partial discharge signals include high-frequency current, ultrasound, ultrahigh frequency (UHF) etc. First, acquire the high-frequency current, ultrasound, UHF par
Autor:
Jianpeng Dong, Nam Ling
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 19:1108-1117
In this paper, we present a novel context-adaptive model parameter prediction scheme for improving the estimation accuracy of the mean absolute difference (MAD) of texture and other model parameters in the linear rate quantization (R-Q) model-based H
Autor:
Jianpeng Dong, Nam Ling
Publikováno v:
ISCAS
In this paper, we show that inaccurate model parameters degrade performance of R-Q model based rate control, and oscillations of estimated model parameters often occur in the classic quadratic R-Q model based macroblock (MB) layer rate control. To re
Autor:
Jianpeng Dong, Nam Ling
Publikováno v:
SiPS
We present an efficient and accurate macroblock layer rate control for H.264/AVC using a context-adaptive parameter estimation scheme. Our enhanced linear rate quantization (R-Q) model based rate control, which simultaneously controls texture and non
Autor:
Nam Ling, Jianpeng Dong
Publikováno v:
ISCAS
We present an idea of improving the rate quantization (R-Q) model based rate control for H.264/AVC from a novel model parameter estimation perspective. Our idea is different from the conventional belief that emphasizes the statistical accuracy proper
Autor:
Jianpeng Dong, Nam Ling
Publikováno v:
SiPS
In this paper we present an iterative method for improving frame-level adaptive Wiener filtering in video coding. Our method iteratively computes Wiener filter coefficients using the motion field, macroblock partitioning and best coding modes, which
Autor:
Jianpeng Dong, Nam Ling
Publikováno v:
2007 IEEE International Symposium on Circuits & Systems; 2007, p289-292, 4p