中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
计算技术研究所 [2]
长春光学精密机械与物... [2]
国家空间科学中心 [1]
国家授时中心 [1]
采集方式
OAI收割 [6]
内容类型
期刊论文 [4]
会议论文 [2]
发表日期
2023 [1]
2018 [1]
2016 [1]
2014 [1]
2010 [2]
学科主题
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Lightweight Multiattention Recursive Residual CNN-Based In-Loop Filter Driven by Neuron Diversity
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6996-7008
作者:
Li, Mingxuan
;
Ji, Wen
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/05/20
Video coding
in-loop filtering
convolutional neural network
deep learning
high-efficiency video coding (HEVC)
Doppler-robust high-spectrum-efficiency VCM-OFDM scheme for low Earth orbit satellites broadband data transmission
期刊论文
OAI收割
IET COMMUNICATIONS, 2018, 卷号: 12, 期号: 1, 页码: 35-43
作者:
Li, Jionghui
;
Xiong, Weiming
;
Sun, Geng
;
Wang, Zhugang
;
Huang, Yonghui
  |  
收藏
  |  
浏览/下载:75/0
  |  
提交时间:2018/03/02
Satellite Ground Stations
Satellite Links
Radio Receivers
Radio Transmitters
Ofdm Modulation
Modulation Coding
Doppler Shift
Filtering Theory
Doppler-robust High-spectrum-efficiency Vcm-ofdm Scheme
Low Earth Orbit Satellites Broadband Data Transmission
High-efficiency Satellite-ground Downlink Data Transmission System
Limited Spectrum Resource
Dynamic Link Conditions
Orbital Motion
Leo Satellite
Variable Coding Modulated Orthogonal Frequency Division Multiplexing
Satellite On-board Transmitter
Ground Station Receiver
Filtered-ofdm Signal
Adjustable Codmod
Spectral Efficiency
Physical Layer Frame Structure
Doppler Frequency Shift Compensation
Future Gigabit X-band Reliable Satellite-ground Downlink Transmissions
EcoUp: Towards Economical Datacenter Upgrading
期刊论文
OAI收割
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2016, 卷号: 27, 期号: 7, 页码: 1968-1981
作者:
Yan, Guihai
;
Ma, Jun
;
Han, Yinhe
;
Li, Xiaowei
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2019/12/13
Datacenter upgrading
cost efficiency
performance prediction
recommender systems
collaborative filtering
共线SPDC下剩余脉冲泵浦光滤光特性研究1
期刊论文
OAI收割
时间频率学报, 2014, 卷号: 37, 期号: 1, 页码: 1
作者:
白云
;
权润爱
;
张羽
;
侯飞雁
;
刘涛
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/12/13
SPDC(spontaneous parametric down-conversion process)
broadband puled pump light
filtering efficiency
single photon detection
自发参量下转换(SPDC)
宽带脉冲泵浦光
滤光效率
单光子探测
Sort optimization algorithm of median filtering based on FPGA (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Machine Vision and Human-Machine Interface, MVHI 2010, April 24, 2010 - April 25, 2010, Kaifeng, China
作者:
Li S.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2013/03/25
The traditional sorting algorithm of median filtering is optimized according to the hardware structure features of FPGA. FPGA is used to acquire the data parallelly for comparing the data of the same column in the median filtering window. Comparing results shared by adjacent filter window are saved temporarily to match the new round of median filtering by using FPGA internal resources. This method can reduce the comparing times from current 21 down to 13
and improve the algorithm efficiency nearly 40%.The experimental results prove that the optimized algorithm can filter a 1K1K gray-level image in about 20ms
which ensure the proposed algorithm can be applied in the real-time image median filtering system. 2010 IEEE.
Image parallel processing based on GPU (EI CONFERENCE)
会议论文
OAI收割
2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
作者:
Wang J.-L.
;
Wang J.-L.
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2013/03/25
In order to solve the compute-intensive character of image processing
based on advantages of GPU parallel operation
parallel acceleration processing technique is proposed for image. First
efficient architecture of GPU is introduced that improves computational efficiency
comparing with CPU. Then
Sobel edge detector and homomorphic filtering
two representative image processing algorithms
are embedded into GPU to validate the technique. Finally
tested image data of different resolutions are used on CPU and GPU hardware platform to compare computational efficiency of GPU and CPU. Experimental results indicate that if data transfer time
between host memory and device memory
is taken into account
speed of the two algorithms implemented on GPU can be improved approximately 25 times and 49 times as fast as CPU
respectively
and GPU is practical for image processing. 2010 IEEE.