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	Analysis and study of the interlaced encoding pixels in Hadamard transform spectral imager based on DMD 期刊论文 OAI收割 optics and lasers in engineering, 2012, 卷号: 50, 期号: 3, 页码: 458-464 作者: Xu, Jun; Hu, Bingliang; Feng, Dazheng; Fan, Xiaohui; Qian, Qingming 收藏 \| 浏览/下载：30/0 \| 提交时间：2012/08/30 Hadamard transform DMD Spectral imager Interlaced encoding Decoding method
	Research on the Interlaced Encoding Pixels in Hadamard Transform Spectral Imager Based on DMD 期刊论文 OAI收割 spectroscopy and spectral analysis, 2012, 卷号: 32, 期号: 1, 页码: 278-282 作者: Xu Jun; Hu Bing-liang; Feng Da-zheng; Zhang Wen; Yan Peng 收藏 \| 浏览/下载：26/0 \| 提交时间：2015/06/29 Hadamard transform DMD Spectral imager Interlaced encoding Positioning method Decoding method
	A design of high-speed and low-consume parallel grouping RS code and simulation (EI CONFERENCE) 会议论文 OAI收割 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China Chen C.; Jin G. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 RS code is a linear error correction codes with better error correction capability is widely used in different kinds of occasions for communications or data storage. But for its high difficulty of coding and decoding algorithm and low throughput optimization RS algorithm is always studied as one of the focus in the error-correction field. A new coding method parallel coding and decoding data into groups in lower step finite field for avoiding complex matrix iteration and Chien search computation is proposed in this paper. It is proved that the coding and decoding throughput of the parallel grouping RS coder is increased and the hardware complexity is reduced with changeless error-correction capability from the simulation results using ModelSim SE 6.0 and synthetic results using ISE 9.11. 2010 IEEE.
	Information propagation from IP3 to target protein: A combined model for encoding and decoding of Ca2+ signal 期刊论文 OAI收割 PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2009, 卷号: 388, 期号: 19, 页码: 4105-4114 作者: Zhao, Qi; Yi, Ming; Xia, Kelin; Zhan, Meng 收藏 \| 浏览/下载：21/0 \| 提交时间：2015/06/26 Encoding Decoding Ca2+ oscillation Phosphorylation cycle Combined model Chemical Langevin method
	Study of unequal error protection method based on JPEG2000 for surveyingmapping image (EI CONFERENCE) 会议论文 OAI收割 International Conference on Computer Science and Software Engineering, CSSE 2008, December 12, 2008 - December 14, 2008, Wuhan, Hubei, China Yao Q.; Cao M. 收藏 \| 浏览/下载：155/0 \| 提交时间：2013/03/25 On aviation mapping compression image maybe not decode because of wireless transmission interference. UEP(Unequal Error Protection) scheme is put forward about layer and block structure of JPEG2000 image compression method flexibly enhances local reconfigurable image's quality which is in favor of identifier in the region of interest. 2008 IEEE. and realizes three degrees UEP of data block data header image data via various degrees correction-coding under the condition of obstruct naked and shade. BCH RS and Hamming coding are simulated and image decoding success rate and image's quality are analyzed according to different coding and ROI (Region of Interest) in the Gaussian white noise model and rayleigh fading model. Results shows that the method we putted forward roughly improves decoding success rate at the same time almost not increasing bandwidth
	Compression of remote sensing image based on Listless Zerotree Coding and DPCM (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China Chen S.-L.; Huang L.-Q. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 The data quantity of remote sensing image is very large. Furthermore the lowest frequency subband contains the main energy of original image and reflects the coarse of original image after remote sensing image is transformed by wavelet so it is very important to the reconstructed image. Therefore a hybrid image compression method based on Listless Zerotree Coding (LZC) and DPCM is presented namely the lowest frequency subband is compressed by DPCM and others are compressed by LZC. LZC is a kind of zerotree coding algorithm for hardware implementation which is based on SPIHT and substitutes two significant bit maps for three lists in SPIHT algorithm. Thereby LZC significantly reduces the memory requirement and complexity during encoding and decoding procedure. But LZC doesn't recognize the significance of grandchild sets so the PSNR values of LZC are lower than SPIHT's and the compression speed drops. It is improved by adding a significant bit map that recognizes the significance of grandchild sets. A comparison reveals that the PSNR results of the hybrid compression method are 2 dB higher than those of LZC and the compression speed is also improved.
	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：37/0 \| 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.