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2008 9th International Conference on Signal Processing最新文献

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Analysis of nonlinearity in normal and epileptic EEG signals 正常与癫痫脑电信号的非线性分析
Pub Date : 2008-12-08 DOI: 10.1109/ICOSP.2008.4697575
Ye Yuan, Yue Li, Lijie Yu, Haoyuan Guo
The nonlinearity in normal and epileptic electroencephalogram (EEG) signals is investigated in this paper by the delay vector variance (DVV) method, which determines the degree of nonlinearity of the tested time series by comparing the target variances of the tested time series to those of the corresponding surrogate time series. The results of numerical experiments show that both normal and epileptic EEG signals are of nonlinearity, whereas epileptic EEG signals are of higher degree of nonlinearity than normal EEG signals. Based on this, it is proposed that degree of nonlinearity could provide useful information for epileptic seizure characterization. Moreover, the degree of nonlinearity of epileptic EEG time series fluctuates more briskly than that of normal EEG time series.
本文采用延迟向量方差(delay vector variance, DVV)方法研究了正常和癫痫脑电图(EEG)信号的非线性,该方法通过将被测时间序列的目标方差与对应的替代时间序列的方差进行比较来确定被测时间序列的非线性程度。数值实验结果表明,正常脑电图信号和癫痫脑电图信号都是非线性的,而癫痫脑电图信号的非线性程度高于正常脑电图信号。在此基础上,提出了非线性程度可以为癫痫发作特征提供有用的信息。此外,癫痫病脑电图时间序列的非线性程度波动比正常脑电图时间序列更剧烈。
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引用次数: 1
Efficient multi-target tracking with a two-tier hierarchical Wireless Sensor Network 基于两层分层无线传感器网络的高效多目标跟踪
Pub Date : 2008-12-08 DOI: 10.1109/ICOSP.2008.4697680
Jin Wei, Xudong Wang, V. Syrmos
Recently, a two-tier hierarchical wireless sensor network (WSN) was proposed to address the problem of multi-target tracking (MTT). The WSN estimated the multi-target states well, but kept no record of target identities. In this paper, the performance of the WSN is improved by activating certain sensors instead of all the sensors in the first level of the hierarchy at each time step. Furthermore, a track-to-estimate association scheme is also proposed to incorporate individual target identities and produce estimates of individual target tracks. The proposed tracking algorithm works well even when the target dynamics and/or measurement process is severely nonlinear. The efficiency of the algorithm is demonstrated in the application of bearing and signal strength tracking.
近年来,针对多目标跟踪问题,提出了一种双层分层无线传感器网络(WSN)。WSN能很好地估计多目标状态,但不保留目标身份的记录。在本文中,通过在每个时间步长激活某些传感器而不是激活层次结构第一层的所有传感器来提高WSN的性能。此外,还提出了一种航迹到航迹估计的关联方案,用于合并单个目标身份并产生单个目标航迹估计。所提出的跟踪算法即使在目标动力学和/或测量过程是严重非线性的情况下也能很好地工作。在方位和信号强度跟踪中的应用验证了该算法的有效性。
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引用次数: 3
Training based crosstalk cancellation with updating implementation 基于训练的相声消除与更新实现
Pub Date : 2008-12-08 DOI: 10.1109/ICOSP.2008.4697414
Chen Xianfu, L. Youming, Huang Guanhua, Hu Qianmiao
Crosstalk is the major limiting factor affecting the achieve rate of VDSL/VDSL2 system. Several crosstalk precoder and canceller methods have been proposed respectively for downstream and upstream transmission, which are based on the assumption that we known the crosstalk channel matrix on each tone. In practice, however, these matrices are estimated from training data. Without estimating the crosstalk channel matrix, a novel crosstalk cancellation algorithm is proposed in this paper. In this algorithm, the crosstalk cancellation filter is derived from the transmitted and received signals. Furthermore, an updating algorithm is derived for reducing the complexity of the proposed algorithm. Computer simulation results based on measured channels verified the analysis.
串扰是影响VDSL/VDSL2系统实现速率的主要限制因素。在已知每个音上的串扰信道矩阵的前提下,分别提出了下游和上游传输的串扰预编码器和对消方法。然而,在实践中,这些矩阵是根据训练数据估计的。在不估计串扰信道矩阵的情况下,提出了一种新的串扰对消算法。在该算法中,串扰消除滤波器是由发送和接收的信号推导出来的。此外,为了降低算法的复杂度,还推导了一种更新算法。基于实测通道的计算机仿真结果验证了分析的正确性。
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引用次数: 0
Linear time-delay system model and stability of AQM bottleneck networks 线性时滞系统模型与AQM瓶颈网络的稳定性
Pub Date : 2008-12-08 DOI: 10.1109/ICOSP.2008.4697544
Yang Xiao, Kiseon Kim
Active queue manage networks belong to nonlinear large scale systems. There are many uncertain factors such access number of subscribers, traffic types, link capacities and round trip time, impact on the networkspsila behaviors. However, the existing nonlinear fluid models for AQM networks have not considered the hybrid traffic flows: TCP/UDP ones, they only are valid for TCP traffic flows. This paper establishes a general linear time-delay model for the bottleneck networks with TCP/UDP AQM, considering the uncertainty of access number of subscribers, traffic types, link capacities and round trip time. The proposed time-delay system model is derived from linearization processing for fluid-based model at equilibrium points. Resort to the time-delay system model, the stability analysis of the AQM networks with uncertainty can be analyzed in 2-D s-z domain. At equilibrium points, the bottleneck networks are described by uncertain linear time-delay systems, then 2-D (two-dimensional) Laplace-z transform has been applied for the stability test of the network. The stability implies the congestion conditions of the AQM networks. Simulations verify the stability analysis for AQM network to be valid, the AQM network approaches to full utilization without PI controller of.
主动队列管理网络属于非线性大系统。用户接入数量、流量类型、链路容量、往返时间等不确定因素对网络运行行为的影响很大。然而,现有的AQM网络非线性流体模型没有考虑TCP/UDP混合流量,它们只对TCP流量有效。考虑用户接入数、流量类型、链路容量和往返时间的不确定性,建立了TCP/UDP AQM瓶颈网络的一般线性时延模型。所提出的时滞系统模型是在平衡点处对基于流体的模型进行线性化处理后得到的。利用时滞系统模型,可以在二维s-z域对具有不确定性的AQM网络进行稳定性分析。在平衡点处,瓶颈网络用不确定线性时滞系统描述,然后应用二维拉普拉斯-z变换对网络进行稳定性检验。稳定性意味着AQM网络的拥塞状况。仿真验证了AQM网络稳定性分析的有效性,在没有PI控制器的情况下,AQM网络接近充分利用。
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引用次数: 1
Genetic algorithm approach for wavelet-based image watermarking 基于遗传算法的小波图像水印
Pub Date : 2008-12-08 DOI: 10.1109/ICOSP.2008.4697055
M. Nakamoto, S. Fujimoto, A. Doi, T. Hinamoto
For copyright protection, the bit pattern is embedded in discrete wavelet transform (DWT) domain by using a secret key sequence. For security, it is desirable to be hard to counterfeit the key sequence. In this work, we consider a watermarking method with a key sequence which is difficult to counterfeit. Additionally, we show the design method of the key sequence based on the genetic algorithm (GA) so that the robustness of the watermark is strong. Finally, we show the robustness against JPEG attack by computer simulation.
为了保护版权,比特模式通过密钥序列嵌入到离散小波变换(DWT)域中。为了保证安全性,希望密钥序列难以伪造。本文研究了一种难以伪造的密钥序列水印方法。此外,我们还提出了基于遗传算法的密钥序列设计方法,使水印具有较强的鲁棒性。最后,通过计算机仿真验证了该算法对JPEG攻击的鲁棒性。
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引用次数: 3
Design and implementation of WTB controller using SOPC technology 采用SOPC技术的WTB控制器的设计与实现
Pub Date : 2008-12-08 DOI: 10.1109/ICOSP.2008.4697730
Juan Song, Lide Wang, Yunli Mu
The paper presents a novel WTB controller design method using SOPC (system on programmable chip) technology. The WTB Access IP (intellectual property), which is designed in Verilog HDL (hardware description language), achieves the function of encoding, decoding, FCS (frame check sequence) and bit stuffing. Finally the CPU and WTB controller are combined into one Alterapsilas Cyclone II EP2C8, so this method save PCB space and reduce total power consumption. The paper describes each modulepsilas function and design method specifically. Simultaneously the simulation and two different experimentspsila results are given.
本文提出了一种利用SOPC (system on programmable chip)技术设计WTB控制器的新方法。WTB Access IP(知识产权)采用Verilog硬件描述语言HDL设计,实现了编码、解码、帧校验序列(FCS)和位填充等功能。最后将CPU和WTB控制器组合成一个Alterapsilas Cyclone II EP2C8,这样既节省了PCB空间,又降低了总功耗。文中详细介绍了各模块的功能和设计方法。同时给出了仿真和两种不同的实验结果。
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引用次数: 0
A projection on Convex Sets super-resolution algorithm using wavelet transform 基于小波变换的凸集投影超分辨算法
Pub Date : 2008-12-08 DOI: 10.1109/ICOSP.2008.4697306
Guo Lei, He Zhiming
Projection on convex sets (POCS) is an algorithm which produces high-resolution image from a set of low-resolution images, but doesnpsilat perform very well on the reconstruction of high frequency information and depressing noise. In this paper, wavelet transform is utilized to extract high frequency hidden information and depress the noise in the low resolution images based on POCS, thus the detailed information of images and SNR are better than the results of normal POCS. The results of simulation confirm that the method in this paper is more effective than POCS algorithm.
凸集投影(POCS)是一种从一组低分辨率图像中生成高分辨率图像的算法,但在高频信息的重建和噪声抑制方面表现不佳。本文利用小波变换提取低分辨率图像中的高频隐藏信息,抑制噪声,使图像的详细信息和信噪比优于普通POCS。仿真结果表明,本文方法比POCS算法更有效。
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引用次数: 4
Syndrome coding of video with LDPC codes LDPC码的视频证候编码
Pub Date : 2008-12-08 DOI: 10.1109/ICOSP.2008.4697533
S. Reddy, P. Aparna, S. David
In this paper we present the simulation results of the video coding system based on the principle of distributed source coding. Unlike conventional video coding system, this system exploits source statistics at the decoder, thus reversing the complexity model. Current implementation uses LDPC codes for syndrome coding.
本文给出了基于分布式源编码原理的视频编码系统的仿真结果。与传统的视频编码系统不同,该系统利用解码器的源统计信息,从而扭转了复杂性模型。目前的实现使用LDPC码进行综合征编码。
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引用次数: 3
Efficient application of 3D morphological operations in the framework of a computer-assisted diagnosis system 三维形态学操作在计算机辅助诊断系统框架中的高效应用
Pub Date : 2008-12-08 DOI: 10.1109/ICOSP.2008.4697263
J. Lerdsinmongkol, K. Chaisaowong, S. Roongruangsorakarn, T. Kraus, T. Aach
Pleural thickenings as biomarker of exposure to asbestos may evolve into malignant pleural mesothelioma. The diagnosis is based on a visual investigation of CT images, which is a time consuming and subjective procedure. Our image processing system identifies the pleural contours and detects pleural thickenings. In two algorithm steps, namely the detection of the thorax and the removal of air and trachea, 3D morphological operations were implemented and tested, in order to find an optimum of its application in the aspect of calculation expense and accuracy. After an evaluation, we obtained an experimental optimum for both algorithm steps.
作为暴露于石棉的生物标志物的胸膜增厚可能演变为恶性胸膜间皮瘤。诊断是基于CT图像的视觉调查,这是一个耗时和主观的过程。我们的图像处理系统识别胸膜轮廓并检测胸膜增厚。在检测胸腔和去除气管和空气两个算法步骤中,实现并测试了三维形态学操作,以便在计算费用和精度方面找到其应用的最佳方案。经过评估,我们得到了两个算法步骤的实验最优值。
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引用次数: 3
Image denoising based on correlations of inter-scale coefficients in contourlet domain 基于contourlet域尺度间系数相关性的图像去噪
Pub Date : 2008-12-08 DOI: 10.1109/ICOSP.2008.4697064
Fan Yang, Ruizhen Zhao, Shaohai Hu
A new image denoising algorithm based on contourlet transform is presented in this paper. The new approach takes the correlations of inter-scale contourlet coefficients into account in the process of shrinkage, and assumes that the noise-free contourlet coefficients are correlated to their parent coefficients which locate at a different scale. By computing the relativity coefficients across scales, we consider those with smaller values are more likely the noisy coefficients. And then we remove those coefficients whose magnitudes and corresponding relativity coefficients are both small. Experimental results demonstrate that the proposed algorithm can not only maintain the edges of an image, but obtain higher PSNR and better visual quality.
提出了一种基于contourlet变换的图像去噪算法。该方法考虑了收缩过程中尺度间轮廓线系数的相关性,并假设无噪声轮廓线系数与其位于不同尺度的母系数相关。通过计算跨尺度的相关系数,我们认为较小的系数更有可能是噪声系数。然后我们去掉那些大小和相关系数都很小的系数。实验结果表明,该算法既能保持图像的边缘,又能获得较高的PSNR和较好的视觉质量。
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引用次数: 1
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2008 9th International Conference on Signal Processing
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