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长春光学精密机械与物... [3]
自动化研究所 [2]
计算技术研究所 [1]
国家空间科学中心 [1]
遥感与数字地球研究所 [1]
深海科学与工程研究所 [1]
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OAI收割 [12]
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会议论文 [7]
期刊论文 [4]
学位论文 [1]
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2024 [2]
2020 [1]
2009 [2]
2008 [2]
2006 [2]
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空间技术 [1]
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BIRD plus : Design of a Lightweight Communication Compressor for Resource-Constrained Distribution Learning Platforms
期刊论文
OAI收割
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 11, 页码: 2193-2207
作者:
Wu, Donglei
;
Yang, Weihao
;
Zou, Xiangyu
;
Feng, Hao
;
Tao, Dingwen
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/12/06
Indexes
Costs
Computational modeling
Distance learning
Computer aided instruction
Training
Tensors
Distributed learning
communication compression
random sampling
neural network
Perception and Planning of Intelligent Vehicles Based on BEV in Extreme Off-Road Scenarios
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 4, 页码: 4568-4572
作者:
Fan, Jingjing
;
Fan, Lili
;
Ni, Qinghua
;
Wang, Junhao
;
Liu, Yi
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2024/09/09
Feature extraction
Radar
Roads
Trajectory
Millimeter wave communication
Point cloud compression
Image color analysis
Cyber-Physical-Social Systems (CPSS)
emergency management
intelligent vehicles
low-altitude economy
off-road scenarios
A Data Management Method for Remote and Long-Term Seafloor Observation System
期刊论文
OAI收割
MARINE GEODESY, MARINE GEODESY, 2020, 2020, 卷号: 43, 43, 期号: 1, 页码: 1-22, 1-22
作者:
Wang, Huacan
;
Yang, Wencai
;
Xin, Yongzhi
;
Zhang, Shaowei
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2020/03/16
Image compression
Image compression
junction box
satellite communication
seafloor observation
junction box
satellite communication
seafloor observation
Storage and compression design of high speed CCD (EI CONFERENCE)
会议论文
OAI收割
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China
Cai X.
;
Zhai L. P.
收藏
  |  
浏览/下载:68/0
  |  
提交时间:2013/03/25
In current field of CCD measurement
large area and high resolution CCD is used to obtain big measurement image
so that
speed and capacity of CCD requires high performance of later storage and process system. The paper discusses how to use SCSI hard disk to construct storage system and use DSPs and FPGA to realize image compression. As for storage subsystem
Because CCD is divided into multiplex output
SCSI array is used in RAID0 way. The storage system is composed of high speed buffer
DMA controller
control MCU
SCSI protocol controller and SCSI hard disk. As for compression subsystem
according to requirement of communication and monitor system
the output is fixed resolution image and analog PAL signal. The compression means is JPEG2000 standard
in which
9/7 wavelets in lifting format is used. 2 DSPs and FPGA are used to compose parallel compression system. The system is composed of FPGA pre-processing module
DSP compression module
video decoder module
data buffer module and communication module. Firstly
discrete wavelet transform and quantization is realized in FPGA. Secondly
entropy coding and stream adaption is realized in DSPs. Last
analog PAL signal is output by Video decoder. Data buffer is realized in synchronous dual-port RAM and state of subsystem is transfer to controller. Through subjective and objective evaluation
the storage and compression system satisfies the requirement of system. 2009 SPIE.
qvs: quality-aware voice streaming for wireless sensor networks
会议论文
OAI收割
29th IEEE International Conference on Distributed Computing Systems, Montreal, CANADA, JUN 22-26,
Li Liqun
;
Xing Guoliang
;
Sun Limin
;
Liu Yan
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2011/03/20
disaster management
duplication adaptation
dynamic voice compression
quality-aware voice streaming
security surveillance
voice quality evaluation
wireless audio communication
wireless sensor networks
audio streaming
wireless sensor networks
The development and design of the gas-liquid two-phase flow-meter system based on DSP (EI CONFERENCE)
会议论文
OAI收割
2008 International Conference on Advanced Computer Theory and Engineering, ICACTE 2008, December 20, 2008 - December 22, 2008, Phuket, Thailand
Zhu J.-W.
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2013/03/25
Recently
as the fast development of the modern engineer
the measuring problem of the gas and liquid is becoming prominence and many countries spend so much in the research. The system with which the thesis developed has realized data acquisition
data compression and decompression
a friendly human-machine interface
RS232 serial communication
reading or writing USB disk. The architecture of system is flexible. The thesis presents a research on the measurement process and the whole structure of the flow metering system
and analyzes the schematic circuit of the main hardware modules 2008 IEEE.
Far-field spot compression without energy loss in main lob in wireless laser communication
期刊论文
OAI收割
optik, 2008, 卷号: 119, 期号: 9, 页码: 429, 433
Liu Ximin
;
刘立人
;
Bai Lihua
;
Wang Jiming
收藏
  |  
浏览/下载:1134/250
  |  
提交时间:2009/09/18
far-field spot compression
wireless laser communication
diffractive phase element
Lossless wavelet compression on medical image (EI CONFERENCE)
会议论文
OAI收割
4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China
作者:
Liu H.
;
Liu H.
;
Liu H.
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2013/03/25
An increasing number of medical imagery is created directly in digital form. Such as Clinical image Archiving and Communication Systems (PACS). as well as telemedicine networks require the storage and transmission of this huge amount of medical image data. Efficient compression of these data is crucial. Several lossless and lossy techniques for the compression of the data have been proposed. Lossless techniques allow exact reconstruction of the original imagery while lossy techniques aim to achieve high compression ratios by allowing some acceptable degradation in the image. Lossless compression does not degrade the image
thus facilitating accurate diagnosis
of course at the expense of higher bit rates
i.e. lower compression ratios. Various methods both for lossy (irreversible) and lossless (reversible) image compression are proposed in the literature. The recent advances in the lossy compression techniques include different methods such as vector quantization
wavelet coding
neural networks
and fractal coding. Although these methods can achieve high compression ratios (of the order 50:1
or even more)
they do not allow reconstructing exactly the original version of the input data. Lossless compression techniques permit the perfect reconstruction of the original image
but the achievable compression ratios are only of the order 2:1
up to 4:1. In our paper
we use a kind of lifting scheme to generate truly loss-less non-linear integer-to-integer wavelet transforms. At the same time
we exploit the coding algorithm producing an embedded code has the property that the bits in the bit stream are generated in order of importance
so that all the low rate codes are included at the beginning of the bit stream. Typically
the encoding process stops when the target bit rate is met. Similarly
the decoder can interrupt the decoding process at any point in the bil stream
and still reconstruct the image. Therefore
a compression scheme generating an embedded code can start sending over the network the coarser version of the image first
and continues with the progressive transmission of the refinement details. Experimental results show that our method can get a perfect performance in compression ratio and reconstructive image.
The research of aerial RS real-time image compression transmission based on DSP
会议论文
OAI收割
2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS,, Denver, CO, United states, July 31, 2006 - August 4,2006
Jin, Chuan
;
Qin, Qiming
;
Li, Jie
;
Chen, Dezhi
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2014/12/07
Image compression
Algorithms
Image communication systems
Image quality
Network architecture
Real time systems
Remote sensing
Real-time imagery compression method research
会议论文
OAI收割
Conference on Ocean Remote Sensing and Imaging II, San Diego, Ca, 2003
Maotang Li
;
Jingbo Guo
;
Jinping Zhao
;
Yuzhong Liu
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2014/05/04
real-time communication
image compression
ocean monitor
wavelet-based algorithm