中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共12条,第1-10条 帮助

条数/页: 排序方式:
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
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
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
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
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
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
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
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