一种用于TLC闪存的速率兼容LDPC码

TLC闪存存储单元随着擦写次数不断增加,错误概率快速增大。基于TLC闪存信道结构,利用原模图LDPC码字扩展以及变量节点与TLC闪存存储页匹配关系,提出了一种速率兼容原模图LDPC码,所设计的速率兼容原模图LDPC码在保持信息位长度相同情况下,可实现可变码率,能够适应TLC闪存擦除次数增多而导致的不同纠错能力需求情况,编译码时只需一对LDPC编码器/译码器即可灵活处理所有码率,从而提高编码器/译码器的硬件利用率。仿真结果表明,所提出的速率兼容原模图LDPC码优于未经过逻辑页匹配的速率兼容原模图LDPC码,当误码率为[10-4]、码率分别为0.90、0.82、0.75时,所提出的速率兼容原模图LDPC码信噪比性能比基于PEG算法的非规则LDPC码均提高0.2dB以上。     

基于Dewey编码的XML多重索引

与标准的方法XQuery查询语言不同,XML文档的关键字查询能使用户方便地访问XML数据,不必考虑数据复杂模式和掌握复杂查询描述语言。文章对关键字查询中索引技术进行研究,提出了一种基于Dewey编码的查询索引进行解决,以综合分析XML数据的值信息和结构信息,达到子树返回和路径返回的精确查询的目标。     

基于Lucene的搜索引擎在Struts中的应用

Lucene是一个开源的全文搜索引擎工具包,可以跨平台使用,也可方便地嵌入到Web应用中实现企业门户网站的全文索引/检索功能。Struts是一个基于MVC的Web框架,具有良好的可维护性、可扩展性、可移植性和组件的可复用性。将Lucene和Struts结合起来,探讨了基于Lucene的搜索引擎在Struts中的应用。     

基于小波变换的低比特率图像编码研究

运用小波变换理论,结合人类视觉系统特性,提出一种基于SPIHT算法的低比特率图像压缩的改进算法.实验证明,该算法在平滑图像的压缩中有较好效果,在低比特率压缩下减少了Gibbs现象,边缘模糊现象得到改善.     

网上购物系统的设计与开发

网上购物系统具有强大的交互功能,它的主要特点就是改变了购物只有到现实商场的惯常做法,这种全新的交易方式采用Web技术,借助于Internet互联网广泛应用,达到资源共享,实现公司间文档与资金的无纸化交换,并使商家和用户方便地传递信息,完成电子贸易或EDI交易。     

中文专利文献自动分类

采用KNN算法实现了一种中文专利文献自动分类系统。针对专利文献数据规模过大,分类效率低下的问题,采用修剪样本技术删除冗余样本,提高了分类器的效率。为解决修剪样本导致干扰文献积累对KNN分类性能下降的影响,系统使用信息增益对专利文献进行特征词选择,削弱了干扰文献对KNN分类的作用。实验证明,采用修剪样本技术和基于信息增益的特征词选择能有效缩小训练集规模,提高KNN分类准确率。     

基于核方法的改进可能聚类模型

A novel model of fuzzy clustering using kernel methods is proposed. This model is called kernel modified possibilisticc-means (KMPCM) model. The proposed model is an extension of the modified possibilistic c-means (MPCM) algorithm byusing kernel methods. Different from MPCM and fuzzy c-means (FCM) model which are based on Euclidean distance, theproposed model is based on kernel-induced distance. Furthermore, with kernel methods the input data can be mappedimplicitly into a high-dimensional feature space where the nonlinear pattern now appears linear. It is unnecessary to docalculation in the high-dimensional feature space because the kernel function can do it. Numerical experiments show thatKMPCM outperforms FCM and MPCM.     

3维模型2维投影图序列特征的异常检测

在对3维模型2维投影图利用区域的Fourier变换提取其形状特征的基础上,提出了一种新的基于特征序列为训练模型的异常检测算法。首先对高维特征序列进行约减至低维序列;其次,引入序列局部模式的相似度和异常值的定义对任意的测试集区分异常。通过PSB数据集实验证明了该方法的有效性和合理性。     

基于多源异质特征的紧致二进制编码学习

为了提高图像检索系统的精度,提出了一种基于多种异质特征的新颖哈希函数学习方法．该方法首先利用特征空间中相似样本与非相似样本分布的不平衡性来提升每个弱分类器的性能,从而建立非对称的Boosting框架;然后将一种基于异质特征子空间学习的线性判别弱分类器融入该框架下,并利用每轮算法中的误判样本的信息来依次学习紧致且平衡的哈希编码．该方法能有效地融合具有互补功能的不同模态的信息,实现了检索系统的性能提升．在2个公开数据集上的实验结果表明该方法优于其他算法,由此看出增加多源异质特征和利用不平衡性学习紧致哈希编码都可以大大提高图像检索的精度．     

Image feature optimization based on nonlinear dimensionality reduction

Image feature optimization is an important means to deal with high-dimensional image data in image semantic un- derstanding and its applications. We formulate image feature optimization as the establishment of a mapping between high- and low-dimensional space via a five-tuple model. Nonlinear dimensionality reduction based on manifold learning provides a feasible way for solving such a problem. We propose a novel globular neighborhood based locally linear embedding （GNLLE） algorithm using neighborhood update and an incremental neighbor search scheme, which not only can handle sparse datasets but also has strong anti-noise capability and good topological stability. Given that the distance measure adopted in nonlinear dimensionality reduction is usually based on pairwise similarity calculation, we also present a globular neighborhood and path clustering based locally linear embedding （GNPCLLE） algorithm based on path-based clustering. Due to its full consideration of correlations between image data, GNPCLLE can eliminate the distortion of the overall topological structure within the dataset on the manifold. Experimental results on two image sets show the effectiveness and efficiency of the proposed algorithms.     

新型的近仙农理论极限码:之型码和级联之型码

This paper introduces a family of error-correcting codes called zigzag codes.A zigzag code is described by a highly structured zigzag graph.Due to the structureal properties of the graph,very low-complexity soft-in,soft-out decoding rules can be implemented.we present a decoding rule,absed on the Max-Log-APP(MLA) formulation,which requires a total of only 20 addition-equivalent-operations per information bit per iteration.Simulation of a rate-1/2 concatenated zigzag code with four constitutent encoders with interlezer length 65536 yields a bit error rate(BER) and of 10^-5 at 0.9 dB and 1.4dB away from the Shannon limit by optimal (APP) and low-cost sub-optimal(MLA) decoders,respectively.     

New Diamond Block Based Gradient Descent Search Algorithm for Motion Estimation in the MPEG-4 Encoder

Motion estimation is an important part of the MPEG-4 encoder, due to its significant impact on the bit rate and the output quality of the encoder sequence. Unfortunately this feature takes a significant part of the encoding time especially when the straightforward full search(FS) algorithm is used. In this paper, a new algo-rithm named diamond block based gradient descent search (DBBGDS) algorithm, which is significantly faster than FS and gives similar quality of the output sequence, is proposed. At the same time, some other algo-rithms, such as three step search (TSS), improved three step search (ITSS), new three step search (NTSS),four step search (4SS) , cellular search (CS) , diamond search (DS) and block based gradient descent search (BBGDS) , are adopted and compared with DBBGDS. As the experimental results show, DBBGDS has its own advantages. Although DS has been adopted by the MPEG-4 VM, its output sequence quality is worse than that of the proposed algorithm while its complexity is similar to the proposed one. Compared with BBGDS, the proposed algorithm can achieve a better output quality.     

Image Coding Using Wavelet Transform and EntropyConstrained Vector Quantization with Quadtree Structure Vectors

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3 D Wavelet Transform for Very Low Bit Rate Video Coding

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基于多小波变换和支持向量机的鲁棒水印算法

为了提高水印的综合效果,根据多小波变换后相邻系数之间具有很强的相关性的特点,提出了一种基于支持向量机的图像水印算法.由于支持向量机在小样本训练的情况下具有良好的学习和泛化能力.因此,可以首先利用支持向量回归机建立相邻系数之间的关系模型.然后,通过调整模型的输入来嵌入或提取水印.实验结果表明,用算法得到的水印不但具有很好的图象感知质量,而且鲁棒性好,实用性强.     

Efficient Hierarchical Structure of Wavelet-Based Compression for Large Volume Data Sets

With the increasing resolution of medical CTscanners, datasets of 10—100 gigabyte sizes are get-ting more and more common[1]. Due to their large si-zes, the transmission between data server and brows-ing clients over low-bandwidth networks and the dis-play of these data sets are time-consuming. There-fore, multiresolution models are developed, so thatthe data can be visualized incrementally as they arrive(progressive refinement). Wavelets are a natural can-didate for such a multiresolution a…     

A fast block-matching algorithm based on variable shape search

INTRODUCTION Block-matching motion estimation is a key video coding technology that reduces the temporal redundancy between adjacent frames. The 3GPP/ 3GPP2 mandatory video codecs (MPEG-4 Simple Profile or H.263 Baseline) have adopted this tech- nology extensively. However, block-matching motion estimation is quite computationally intensive if the Full Search (FS) algorithm is used which exhaus- tively checks all possible candidate motion vectors within the search window. Therefore…     

基于改进KNN的案例匹配模块的设计与实现

为了提高KNN检索策略的检索效率和检索结果的质量,提出一种改进的KNN检索策略。在引入图书馆领域本体和概念语义相似度度量技术的前提下,利用句法结构筛选不合理的案例以降低计算规模,从而提高案例的检索质量和效率,利用改进的微粒群算法优化概念语义相似度度量技术中的组合参数以提高KNN检索的结果质量。实验数据采用福州晓锋科技信息咨询有限公司提供的图书馆参考咨询测试数据。实验结果表明,相比于传统KNN和基于传统PSO的改进KNN方案有效地提高了案例匹配结果的查全率和查准率。     

基于PLSA的面向用户的网络搜索

针对当前的搜索引擎提供面向查询、而非面向用户的服务,从而导致搜索引擎无法满足用户个性化的需求这一问题,提出了一种基于PLSA的新方法,将面向查询词的搜索转变成面向用户的搜索.首先,通过分析用户查询历史和浏览记录建立代表用户模型的用户兴趣向量,在用户发出查询时用户的查询词根据用户兴趣向量被映射到兴趣分类上,最终根据面向用户排序算法将返回结果列表重新排序.实验表明该面向用户搜索系统能够充分考虑用户的偏好,从而更好地满足不同用户的信息需求.     

基于LT码的无损数据压缩算法

针对传统无损数据压缩缺少对传输错误的容错能力的问题,提出了一种基于LT码的无损数据压缩算法,将LT码编码器作为数据压缩器,BP译码器作为解压缩器,并通过二分法搜索递增或递减冗余数据长度.该算法不仅加快了收敛速度,而且提高了压缩效率.仿真结果表明,与已有的同类压缩算法相比,该算法具有较好的压缩性能和较强的噪声鲁棒性.