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International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003最新文献

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Bandwidth control for wireless access networks 无线接入网络的带宽控制
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281199
Ke Lin, A. Hu
{"title":"Bandwidth control for wireless access networks","authors":"Ke Lin, A. Hu","doi":"10.1109/ICNNSP.2003.1281199","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281199","url":null,"abstract":"This paper provides a reference way to realize bandwidth control, a basic and important part of QoS, in WLAN. Using iptables and TC (traffic control) of Linux, AC (Access Control, the boundary node of a mini WLAN) controls all packets pass by. Packets can be dropped, be deferred or be delivered at once. Then, AC can control any user's bandwidth according to his IP address, MAC address, user name and so on. Besides that, it can set a user's priority with similar ways and a user with high priority will be served preferentially. At the end of this paper, we will talk about some possible improvement.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123079386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Intelligent signal processing of mobility management for heterogeneous networks 异构网络移动管理的智能信号处理
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281181
Bing Hongyan, He Chen, Jiang Lingge
{"title":"Intelligent signal processing of mobility management for heterogeneous networks","authors":"Bing Hongyan, He Chen, Jiang Lingge","doi":"10.1109/ICNNSP.2003.1281181","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281181","url":null,"abstract":"Intelligent signal processing provides a wealth of technologies, such as fuzzy logic, neural network, evolutionary computation that can be applied to the design and operation of communication systems. In this article, we present applications of fuzzy logic to problems in mobility management of heterogeneous wireless communication network, which including location management and handover management. In both cases, multiple criteria should be considered to implement multiple criteria decision-making (MCDM) because of the heterogeneity of the different system entities (the user, the terminal, the services and the network). Fuzzy based MCDM method is presented for access network selection and the vertical handover decision.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126576927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 33
On extended RLS lattice adaptive filter variants: error-feedback, normalized and array-based algorithms 扩展RLS晶格自适应滤波器变体:误差反馈、归一化和基于数组的算法
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279402
R. Merched
{"title":"On extended RLS lattice adaptive filter variants: error-feedback, normalized and array-based algorithms","authors":"R. Merched","doi":"10.1109/ICNNSP.2003.1279402","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1279402","url":null,"abstract":"This paper develops several lattice structures for RLS orthonormally-based input data structures, including error feedback, normalized and array-based forms. All recursions are theoretically equivalent, however they tend to differ in performance under finite precision effects. As a result, we verify that compared to the standard extended lattice equations, the new variants do not improve robustness to quantization, unlike what is normally expected for FlR models.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126096686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Signal recovery from the approximation component in the non-downsampled wavelet transform 非下采样小波变换中近似分量的信号恢复
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279372
J. T. Hsu, B. Tian, Ching-Chung Li, Qiang Liu, Lin-Sen Pon, Mingui Sun, R. Sclabassi
{"title":"Signal recovery from the approximation component in the non-downsampled wavelet transform","authors":"J. T. Hsu, B. Tian, Ching-Chung Li, Qiang Liu, Lin-Sen Pon, Mingui Sun, R. Sclabassi","doi":"10.1109/ICNNSP.2003.1279372","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1279372","url":null,"abstract":"It is well known that a signal can be perfectly reconstructed from its wavelet-decomposed components: an approximation component and a set of detail components. Can a signal be recovered from its approximation component without detail components? This paper gives an answer to this question using a non-downsampled wavelet transform. Our experiments and analyses show that a signal can be recovered from its approximation coefficients solely by performing the non-downsampled wavelet transform iteratively. The results from the 2-level and 4-level wavelet transforms show that the recovered signal converges to the original signal as the number of iteration increases.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"18 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114091111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A remote sensing image fusion method based on PCA transform and wavelet packet transform 基于PCA变换和小波包变换的遥感图像融合方法
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1280764
W. Cao, Bicheng Li, Yong Zhang
{"title":"A remote sensing image fusion method based on PCA transform and wavelet packet transform","authors":"W. Cao, Bicheng Li, Yong Zhang","doi":"10.1109/ICNNSP.2003.1280764","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1280764","url":null,"abstract":"In this paper, a Remote-sensing image fusion method based on PCAT and WPT is studied. Firstly, the multi-spectral image is transformed with PCAT, then, we can obtain three principal components; Secondly, the first principal component of the multi-spectral image and the panchromatic image are merged with WPT-based fusion method and the former is replaced with the merged data; Finally, the new multi-spectral image is obtained by inverse PCAT. Some evaluation measures are suggested and applied to compare our new method with those of PCAT-based fusion method, IHST-based one, and WT-based one. Visual effect and statistical parameters indicate that the performance of our new method is better than those. It not only preserves spectral information of the original multi-spectral image very well, but also enhances spatial detail information of the fused image greatly.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114155680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 51
An blind video watermarking scheme based on ICA 一种基于ICA的视频盲水印方案
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281067
Jiande Sun, Ju Liu, M. Lagunas
{"title":"An blind video watermarking scheme based on ICA","authors":"Jiande Sun, Ju Liu, M. Lagunas","doi":"10.1109/ICNNSP.2003.1281067","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281067","url":null,"abstract":"A novel blind video watermarking scheme based on motion estimation of original video is proposed in this paper. The motion component is extracted by independent component analysis (ICA) from the sequent frames. The watermark is embedded into the motion component according to the mean of the neighboring wavelet coefficients because the motion component is essential to the video and the compression affects little on it. The watermark can be extracted blindly and there is little probability of false error. Computer simulations show the good performance of the proposed scheme in robustness and invisibility.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116154085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Frequency hopping underwater data communication system's synchronization processing 跳频水下数据通信系统的同步处理
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1280760
Tong Feng, L. Jiren, Z. Hongtao, Xu Xiaomei
{"title":"Frequency hopping underwater data communication system's synchronization processing","authors":"Tong Feng, L. Jiren, Z. Hongtao, Xu Xiaomei","doi":"10.1109/ICNNSP.2003.1280760","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1280760","url":null,"abstract":"Because of the hostile ocean transmission condition, underwater acoustic communication technology is one of the most difficulty communication technology. Frequency-Hopping underwater acoustic communication system is drawing more and more attention for its good performance under serious noise and multi-path interference condition. Synchronization signal processing is a key factor of FH underwater acoustic communication system. In the research of FH shallow underwater acoustic data communication system, a synchronization method employing adaptive line-spectrum enhancing (ALE) method, frequency diversity, pulse width judgment and frame synchronization signal correlation processing to detect synchronization signal under the condition of low SNR and heavy amplitude fluctuation is presented. The sea experiment results are satisfactory.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116154170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A fast and accurate video object detection and segmentation method in the compressed domain 一种快速准确的压缩域视频目标检测与分割方法
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281087
Zhanhui Wang, Guizhong Liu, Long Liu
{"title":"A fast and accurate video object detection and segmentation method in the compressed domain","authors":"Zhanhui Wang, Guizhong Liu, Long Liu","doi":"10.1109/ICNNSP.2003.1281087","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281087","url":null,"abstract":"In this paper, we present a fast and accurate method for object detection and segmentation in the compressed domain. First the motion vectors are emendated by our spatial confidence and correction rule so that these can represent real motions of objects. Then the initial location and a coarse segmentation from the motion vectors are obtained by applying the EM algorithm. For there are DCT coefficients only in I frames, the coarse masks are mapped into I frames through the motion parameters. These blocks in the masks can be decompressed to obtain details of a specific object in the pixel domain. The actual edges of the objects can be extracted by applying Canny Edge Detection only in the segmented regions. By using the proposed algorithm, the amount of data needed to be processed is kept the necessarily minimal, saving the computational time as well as gaining the pixel-wise edges of the segmented objects.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121195092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
A new kind of impulse noise filter based on PCNN 一种基于PCNN的脉冲噪声滤波器
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279234
Ma Yi-de, Shih-Huang Fei, Liu Lian
{"title":"A new kind of impulse noise filter based on PCNN","authors":"Ma Yi-de, Shih-Huang Fei, Liu Lian","doi":"10.1109/ICNNSP.2003.1279234","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1279234","url":null,"abstract":"Median filter can inhibit the impulse noise in the image, but it always erodes or dilates the edges of images. H.S. Ranganath mentioned that impulse noise could be removed through modifying the intensity of those contaminated pixels step by step using PCNN. Obviusly, this method consumes much more time in computation. Combining the PCNN model with the median filter, this paper presents an impulse noise filter based on a simplified PCNN model which has less parameters. Not only can it remove the impulse noise effectively, but it also keeps the details of the images as much as possible. It can be verified through experiments and theoretical analysis that this kind of filter is superior to the normal median filter and the filter mentioned by H.S. Ranganath, whether in the aspect of noise removal or of keeping details.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121218393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 30
The new design of sigma-delta modulator with lower bits and its application 低位δ调制器的新设计及其应用
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279365
Yu Hui-min, Liu Yuan-yuan, Wang Zhe
{"title":"The new design of sigma-delta modulator with lower bits and its application","authors":"Yu Hui-min, Liu Yuan-yuan, Wang Zhe","doi":"10.1109/ICNNSP.2003.1279365","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1279365","url":null,"abstract":"This paper is devoted to the discussion of a new kind of sigma-delta modulator as signal expression, by which the higher-bit input signal can be represented as a lower-bit digital signal. The quantized noise shaping and noise frequency spectrum are discussed and compared with the conventional sigma-delta modulator. The theoretic analysis shows that the new modulator is stable. A kind of DDC based on this modulator is designed and simulated.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116732472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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