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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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A multiuser space-time block coding system with squaring method 基于平方法的多用户空时分组编码系统
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281147
Yinggang Du, K.T. Chan
{"title":"A multiuser space-time block coding system with squaring method","authors":"Yinggang Du, K.T. Chan","doi":"10.1109/ICNNSP.2003.1281147","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281147","url":null,"abstract":"A multiuser orthogonal space-time block coding (STBC) system in a Rayleigh flat-fading channel with a squaring method is proposed. Soft interference suppression in the multiuser demodulator is combined with the iterative MAP decoding algorithm in the receiver and a squaring method is introduced to eliminate the need to conjugate the received signals and the path gains by doubling the soft code vector, which is fit for all orthogonal STBC designs. The computation complexity keeps same because about half of the elements in the transmission matrix are 0. The channel mismatch has also been studied using pilot symbols. The simulation results confirm the validity of the proposed squaring method. About 1dB SNR improvement over otherwise similar techniques has been obtained with same iteration times. The channel mismatch leads to about 1dB SNR loss at the same BER performance.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"53 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":"124905438","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
Improved parallel interference cancellation algorithm for multicode CDMA system 多码CDMA系统中一种改进的并行干扰消除算法
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281177
Junhui Zhao, Yijun Gui, Dongming Wang, X. You
{"title":"Improved parallel interference cancellation algorithm for multicode CDMA system","authors":"Junhui Zhao, Yijun Gui, Dongming Wang, X. You","doi":"10.1109/ICNNSP.2003.1281177","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281177","url":null,"abstract":"An improved parallel interference cancellation (PIC) algorithm by iterative channel estimation for multicode CDMA system is proposed in this paper. Channel parameter is firstly estimated with the aid of pilot symbols, and then is refined by using soft information from data symbol after rake receiver. Parallel interference cancellation (PIC) is adapted to multicode interference (MCI) at the second step. Simulation Results show that the error floor of the system can be reduced significantly. The effect of different parameter on the symbol error ratio (SER) performance of the multicode CDMA are also investigated in this paper, such as the quality of channel estimation PIC cancellation factor and the number of parallel interference cancellation.","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":"125856094","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
An improved cross-correlation based method of blind source separation in frequency domain 一种改进的基于互相关的频域盲源分离方法
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281127
Jun Ye, Boling Xu, Feng Liu
{"title":"An improved cross-correlation based method of blind source separation in frequency domain","authors":"Jun Ye, Boling Xu, Feng Liu","doi":"10.1109/ICNNSP.2003.1281127","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281127","url":null,"abstract":"A blind source separation algorithm based on cross-correlation in frequency domain is considered in this paper. Firstly we describe that the variation of the length of signal frame will influence the result of separation. Then the multi-frame size method through multi-stage is introduced to meet the requirements of the length of signal frame in all aspects. However we find that another problem called pseudo-solution also could lead separation to fail, so possible treatments are proposed. Experiments are provided to confirm the validity of this improved method.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"30 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":"125883143","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
Semi-blind MIMO channel identification based on error adjustment 基于误差调整的半盲MIMO信道识别
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281142
Yuanjie Li, Luxi Yang
{"title":"Semi-blind MIMO channel identification based on error adjustment","authors":"Yuanjie Li, Luxi Yang","doi":"10.1109/ICNNSP.2003.1281142","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281142","url":null,"abstract":"Multiple input multiple output (MIMO) systems have received considerable interest over the last decade because of high system capacity. In this paper, we propose an error-adjustment scheme for semiblind channel estimation. The algorithm consists of a two-step iteration to achieve even better performance. The initial channel estimates are computed using a variant of cyclic prefix (CP): the know symbol padding only technique. Then the estimate error of the received symbol is used to adjust the initial channel estimates. Computer simulations show that the proposed algorithm offers good estimation behavior for MIMO systems.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"32 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":"125279441","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: 7
Applications of computer graphics-image technology to recognition of wear particles 计算机图形图像技术在磨损颗粒识别中的应用
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1280757
Xianzhong Tian, Tongsen Hu
{"title":"Applications of computer graphics-image technology to recognition of wear particles","authors":"Xianzhong Tian, Tongsen Hu","doi":"10.1109/ICNNSP.2003.1280757","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1280757","url":null,"abstract":"Wear particles are important information carriers which reflect the state of equipment inner abrasion. This paper discusses some applications of recognition of wear particles by computer graphics-image technology. Particularly we introduce ferrography image color model, ferrography image enhancement, and analyze some characteristics of wear particle in shape, texture and color.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"127 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":"116039086","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
Application of ICA to the digital image watermarking ICA在数字图像水印中的应用
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281156
M. Shen, J. Huang, P. Beadle
{"title":"Application of ICA to the digital image watermarking","authors":"M. Shen, J. Huang, P. Beadle","doi":"10.1109/ICNNSP.2003.1281156","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281156","url":null,"abstract":"Digital watermark processing technology has developed very quickly during the recent few years, and been widely applied to protect the copyright of digital image, audio, video and multimedia production. In this paper, a method based on the independent component analysis (ICA) technique for detection and extraction of digital image watermark is proposed. With ICA techniques, it is ensured that a better-extracted watermark can be obtained. Several results of experiments indicate the proposed method is remarkably effective.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"15 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":"122392141","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: 7
Designing active lowpass filter using uniformly distributed RC line 采用均匀分布RC线设计有源低通滤波器
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279348
N. Panyanouvong, S. Luangphakorn, V. Pirajnanchai, P. Tangisanon, K. Janchitrapongvej
{"title":"Designing active lowpass filter using uniformly distributed RC line","authors":"N. Panyanouvong, S. Luangphakorn, V. Pirajnanchai, P. Tangisanon, K. Janchitrapongvej","doi":"10.1109/ICNNSP.2003.1279348","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1279348","url":null,"abstract":"The paper describes low pass filter using uniformly distributed RC line (herein after called URC). The proposed circuit configuration consists of one URC with double capacitive layers and one pole gain amplifier. Experimental results of Matlab simulations are carried out and sensitivities of circuit parameters are also investigated.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"168 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":"122505836","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 novel turbo iterative OFDM receiver in the flat-fading channel 一种新型的平衰落信道turbo迭代OFDM接收机
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281175
Ma Zhangyong, Liu Yaran, Zhao Chunming, Y. Xiaohu
{"title":"A novel turbo iterative OFDM receiver in the flat-fading channel","authors":"Ma Zhangyong, Liu Yaran, Zhao Chunming, Y. Xiaohu","doi":"10.1109/ICNNSP.2003.1281175","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281175","url":null,"abstract":"For QPSK-modulated OFDM system, the combination with an outer soft in/soft out (SISO) channel decoder allows to further improve the performance by means of iterative channel estimation and Turbo decoding. However, in order to avoid serious error propagation when the SNR (signal to noise ratio) is low, the weighted iterative estimation algorithm is proposed. The simulation results show that the proposed algorithm improves the system performance dramatically compared with the conventional scheme.","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":"114282117","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
Scene discrimination by recalling with visual neural system 利用视觉神经系统回忆识别场景
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1279246
H. Morikawa, S. Wada
{"title":"Scene discrimination by recalling with visual neural system","authors":"H. Morikawa, S. Wada","doi":"10.1109/ICNNSP.2003.1279246","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1279246","url":null,"abstract":"In this paper, a neural system based on human visual perceptive model for scene discrimination is proposed. The scenery represented by color image is memorized by the neural network based system as perceptually simplified scene image. A blurred and noisy uncertain scene image is recognized as the original image by recurrent processing with parallel Hopfield-type neural networks. In order to reduce color information naturally, quantization and segmentation in L*a*b space is executed in the preceding step. Several input images such as slightly shifted, noisy, partial or mixed scenes are used in the discrimination. It is shown that the blurred images are effectively discriminated by recalling process with the proposed visual neural system. Effectiveness of quantized segmentation for original color scene images is also examined in the simulations.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"26 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":"116606650","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
Fast error recovery algorithm for Internet video using feedback channel and multi-reference frame 基于反馈信道和多参考帧的网络视频快速纠错算法
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI: 10.1109/ICNNSP.2003.1281066
Hong-Bin Yu, Ci Wang, Songyu Yu
{"title":"Fast error recovery algorithm for Internet video using feedback channel and multi-reference frame","authors":"Hong-Bin Yu, Ci Wang, Songyu Yu","doi":"10.1109/ICNNSP.2003.1281066","DOIUrl":"https://doi.org/10.1109/ICNNSP.2003.1281066","url":null,"abstract":"Hybrid compressed video is very vulnerable for packet loss when transmitted over Internet. Feedback channel is very useful to combat error propagation. Multi-reference frame is another useful tool to enhance both coding efficiency and robustness. In this paper, we propose an algorithm which combines feedback channel and multi-reference frame. Both theoretical analysis and experimental results show that our scheme can best utilize the feedback message to recover rapidly from packet loss. No additional delay is incurred and no coding efficiency loss is penalized.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"22 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":"128399492","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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