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2008 5th International Multi-Conference on Systems, Signals and Devices最新文献

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Fractal dipoles as meander line antennas for passive UHF RFID tags 分形偶极子作为无源超高频RFID标签的曲线线天线
Pub Date : 2008-07-20 DOI: 10.1109/SSD.2008.4632843
A. Salama, K. Quboa
In this paper, two fractal dipole antennas has been designed and optimized for passive RFID tags at 900 MHz, one based on the 3rd iteration of a modified Koch fractal curve and the other is based on the 3rd iteration of the proposed fractal curve. The designed fractal dipoles have been simulated using IE3D simulator based on Method of Moments (MOM). The simulation showed that the modified Koch fractal dipole has better radiation characteristics and longer read range than the proposed fractal dipole antenna. The two antennas are fabricated using PCB technology and examined in anechoic chamber. The experimental results showed a good agreement with the simulation. The effect of different materials attached to the fabricated antennas is examined.
本文设计并优化了900 MHz无源RFID标签的两种分形偶极子天线,一种基于改进的Koch分形曲线的第三次迭代,另一种基于所提出的分形曲线的第三次迭代。利用基于矩量法(MOM)的IE3D模拟器对所设计的分形偶极子进行了模拟。仿真结果表明,改进的Koch分形偶极子天线具有更好的辐射特性和更长的读取范围。采用PCB技术制作了两根天线,并在消声室进行了检测。实验结果与仿真结果吻合较好。研究了不同材料对天线结构的影响。
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引用次数: 9
Completely unsupervised image segmentation using wavelet analysis and Gustafson-Kessel clustering 使用小波分析和Gustafson-Kessel聚类的完全无监督图像分割
Pub Date : 2008-07-20 DOI: 10.1109/SSD.2008.4632890
A. Elsayad
Image segmentation is the first step towards image analysis and image understanding. However, most image segmentation algorithms require a priori knowledge of the number of partitions in the image to be segmented. This paper introduces a novel method for completely unsupervised image segmentation by using wavelet analysis and fuzzy Gustafson-Kessel (GK) algorithm. The proposed algorithm needs no predefined number of partitions nor the number of textures in the image. The algorithm consists of feature extraction employs wavelet transform to decompose the image into different spectral components and build a feature vector for every pixel. These vectors are grouped together into clusters using the GK clustering algorithm. GK is less sensitive to fall into local minima and it has the power to generate clusters with different geometrical shapes. The appropriate number of clusters, hence number of image segments, is determined to minimize the compactness and separation clustering validity measure. The algorithm is applied to segment artificial and real images where experimental results demonstrate the effectiveness of the proposed method.
图像分割是图像分析和理解的第一步。然而,大多数图像分割算法需要先验地知道待分割图像中的分区数量。提出了一种基于小波分析和模糊Gustafson-Kessel (GK)算法的完全无监督图像分割新方法。该算法不需要预定义的分区数量,也不需要图像中纹理的数量。该算法包括特征提取,利用小波变换将图像分解成不同的光谱分量,并为每个像素构建特征向量。使用GK聚类算法将这些向量分组成簇。GK算法对陷入局部极小值的敏感性较低,具有生成不同几何形状簇的能力。确定适当的聚类数量,即图像片段的数量,以最小化紧凑性和分离聚类有效性度量。将该算法应用于人工图像和真实图像的分割,实验结果证明了该方法的有效性。
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引用次数: 4
A LINC amplifier utilizing digital signal processing applied to a DAMPS system 一种用于DAMPS系统的利用数字信号处理的LINC放大器
Pub Date : 2008-07-20 DOI: 10.1109/SSD.2008.4632841
Mohammad Alkuran
This paper is about implementing a LINC amplifier utilizing DSP in a DAMPS wireless system. First, the theory behind LINC amplifiers is presented. Then the I-Q representation of signals is studied. Followed by a look at pi/4 QPSK schemes. Then, wepsilall show how to apply a LINC amplifier to a pi/4 QPSK modulation scheme in a digital environment, and give the equivalent RF circuit. The digital concerns related to that procedure are then studied. Finally, a prototype system will be presented. Computer simulation of this system and the proposed implementation are both presented.
本文研究了在DAMPS无线系统中利用DSP实现一个LINC放大器。首先,介绍了LINC放大器背后的理论。然后研究了信号的I-Q表示。接下来看看pi/4 QPSK方案。然后,我们将展示如何在数字环境下将LINC放大器应用于pi/4 QPSK调制方案,并给出等效的射频电路。然后研究与该程序相关的数字问题。最后,给出了一个原型系统。最后给出了该系统的计算机仿真和具体实现方案。
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引用次数: 0
Data acquisition for myocardial infarction classification based on wavelets and Neural Networks 基于小波和神经网络的心肌梗死分类数据采集
Pub Date : 2008-07-20 DOI: 10.1109/SSD.2008.4632817
F. Al-Naima, A. Ali, S. S. Mahdi
This paper shows an approach for ECG signal processing based on artificial neural networks ANN and transform domains (discrete wavelet transform DWT and Fourier transform FT). The neural networks NNs are introduced to solve different pattern recognition problems associated with ECG analysis. A Multi-Layer Perceptron Neural Network MLP-NN is used in the present work with Back Propagation BP algorithm to train the proposed network. The operation of a classification system based on DWT and FT was analyzed for diagnosing a set of real patterns (QRS interval of normal and MI disease) that were taken from many patients of MAC-1200 12 channel ECG system from two hospitals in Baghdad. An off-line method was then used for the extraction of ECG signals from ECG images papers by using special image processing techniques. The obtained accuracy for the WT-NN was 90%, whereas that for the FT-NN was 85%. The results showed WT-NN to be better for analyzing the nonstationary signals.
提出了一种基于人工神经网络和变换域(离散小波变换DWT和傅立叶变换FT)的心电信号处理方法。引入神经网络来解决与心电分析相关的各种模式识别问题。本文采用多层感知器神经网络MLP-NN与反向传播BP算法对所提出的网络进行训练。分析了基于DWT和FT的分类系统对巴格达两家医院MAC-1200 12通道心电系统患者的一组真实模式(正常和心肌梗死QRS区间)的诊断操作。然后采用离线方法,利用特殊的图像处理技术从心电图像纸中提取心电信号。WT-NN的准确度为90%,而FT-NN的准确度为85%。结果表明,WT-NN能较好地分析非平稳信号。
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引用次数: 20
Trees growth-current and losses modelling in solid electrical insulations 树木生长——固体电绝缘体中的电流和损耗模型
Pub Date : 2008-07-20 DOI: 10.1109/SSD.2008.4632819
N. Rouha
This paper presents an attempt of modelling the treeing structures expanding in an insulating polymer. By assuming the treeing shapes to simple geometries and by considering the polymer /tree interface with or without charge, we establish a mathematical expression describing the dynamics of the propagation.This shows the relationship between the treeing length, the current and the loss factor and their dependency on many parameters such as the amplitude, the duration and the shape of the applied voltage, the frequency, the electrode geometry thickness of the polymer sample, the electrode gap and radius, the density of the polymer, the permittivities and conductivities of both polymer and tree.We also discuss the time- lag to breakdown. We have also led an experimental investigations which results allows us to validate those obtained by the mathematical model, and to show the correlation between the electrical tree propagation (length and time to breakdown) in the case of the different parameters considered.
本文提出了一种模拟树形结构在绝缘聚合物中膨胀的方法。通过假设树形为简单几何形状,并考虑聚合物/树形界面带或不带电荷,我们建立了描述树形传播动力学的数学表达式。这显示了树形长度、电流和损耗因子之间的关系,以及它们对许多参数的依赖关系,如振幅、施加电压的持续时间和形状、频率、聚合物样品的电极几何厚度、电极间隙和半径、聚合物的密度、聚合物和树形的介电常数和电导率。我们还讨论了故障的时滞。我们还领导了一项实验研究,其结果使我们能够验证由数学模型获得的结果,并显示在考虑不同参数的情况下电树繁殖(长度和击穿时间)之间的相关性。
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引用次数: 0
A new and improves skin detection method using RGB vector space 一种新的改进的基于RGB向量空间的皮肤检测方法
Pub Date : 2008-07-20 DOI: 10.1109/SSD.2008.4632786
M.M. Aznaveh, H. Mirzaei, E. Roshan, M. Saraee
This paper describes a new method for skin detection based on RGB vector space. Skin color has proven to be a useful cue for pre-process of face detection, localization and tracking. Image content filtering, content aware video compression and image color balancing applications can also benefit from automatic detection of skin in images. Numerous works for skin color segmentation and detection have been reported in the literature in the last few years. In this paper first few pixel based methods are presented and then vector calculations as an efficient approach for determination of skin area based on implicit mathematical model is proposed. In order to evaluate our method we performed an experimental study. Results obtained are very promising and shows important advantages over other techniques.
本文提出了一种基于RGB向量空间的皮肤检测新方法。肤色已被证明是人脸检测、定位和跟踪预处理的有用线索。图像内容过滤、内容感知视频压缩和图像色彩平衡应用也可以受益于图像中皮肤的自动检测。在过去的几年里,许多关于肤色分割和检测的工作已经在文献中被报道。本文首先介绍了几种基于像素的方法,然后提出了基于隐式数学模型的矢量计算作为确定皮肤面积的有效方法。为了评估我们的方法,我们进行了一项实验研究。所获得的结果非常有希望,并显示出与其他技术相比的重要优势。
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引用次数: 9
Polynomial approximations and convergence rate of Mamdani fuzzzy controllers Mamdani模糊控制器的多项式逼近与收敛速度
Pub Date : 2008-07-20 DOI: 10.1109/SSD.2008.4632809
J. Dieulot, N. Aoun, M. Benrejeb, P. Borne
The analytical expression of a fuzzy controller has been studied when the output fuzzy membership functions are equally spaced and triangular or trapezoidal. The cases, when a fuzzy set of the output is extreme - with respect to the universe of discourse - or not extreme have been considered. When considering extreme sets, the controller can be approximated with a good precision by a second-degree polynomial and, in the contrary, by a first-degree polynomial. The modelling of the output by a second-degree multivariable polynomial has been shown to affect strongly the convergence rate, which is enlightened by an example for which the closed-loop stability is not exponential.
研究了当输出模糊隶属函数为等间距三角形或梯形时模糊控制器的解析表达式。当输出的模糊集是极端的-相对于话语的范围-或不极端的情况已被考虑。当考虑极值集时,控制器可以用二阶多项式近似,反之,可以用一次多项式近似。用二阶多变量多项式对输出进行建模对收敛速度有很大影响,并通过一个闭环稳定性非指数型的例子得到了启示。
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引用次数: 0
Repetition-based packet lost concealment method for CELP-based coders in packet networks 分组网络中基于celp编码器的重复丢包隐藏方法
Pub Date : 2008-07-20 DOI: 10.1109/SSD.2008.4632895
Fatiha Merazka
This paper presents a repetition based packet lost concealment (PLC) method for code excited linear prediction (CELP) based coders in packet networks. We perform a repetition of parameters of the last good frame to construct the missing of corrupted packet. Our approach consists in adding a muting factor, a random Jittering and bandwidth expansion. We applied this scheme to the standard ITU-T G729 standard speech coder for evaluation. Compared to the concealment method embedded in the ITU-G.729, each characteristic gives better performance in terms of average spectral distortion measure and enhanced modified bark spectral distortion tests (EMBSD), over the PLC embedded in the G729. we show that the repetition method outperform significantly the method implemented by the standard G729.
针对分组网络中基于码激励线性预测(CELP)的编码器,提出一种基于重复的丢包隐藏(PLC)方法。我们对最后一个好帧的参数进行重复来构造丢失的损坏数据包。我们的方法包括增加一个静音因子,一个随机抖动和带宽扩展。我们将该方案应用于标准ITU-T G729标准语音编码器进行评估。与ITU-G中嵌入的隐藏方法相比。在G729中,每个特性在平均光谱失真测量和增强的改进树皮光谱失真测试(EMBSD)方面都比嵌入在G729中的PLC具有更好的性能。结果表明,该方法的性能明显优于标准G729实现的方法。
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引用次数: 1
Neural networks based control of chaotic Phase-Locked Loop 基于神经网络的混沌锁相环控制
Pub Date : 2008-07-20 DOI: 10.1109/SSD.2008.4632879
M. Mohamed, B. Safya, B. Zouhair
In this paper, a neural network controller is applied to control (suppress) chaotic behavior in a theoretical model of a third order phase locked loop (PLL). It is demonstrated that the neural network controller can successfully cause the phase error to behave in a desired way. The performance of the neural network control method is compared to that of previously used LTI filters showing hence, the efficiency of neural networks (NNspsila) based control.
本文将神经网络控制器应用于三阶锁相环理论模型的混沌控制(抑制)。实验结果表明,该神经网络控制器能够成功地使相位误差按预期方式运动。将神经网络控制方法的性能与以前使用的LTI滤波器的性能进行了比较,从而显示了基于神经网络(NNspsila)的控制的效率。
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引用次数: 0
Stable and highly efficient operation of open-loop controlled PM synchronous motor drive 开环控制永磁同步电机驱动稳定高效运行
Pub Date : 2008-07-20 DOI: 10.1109/SSD.2008.4632845
M. Al-Taee, Hamzah S. AlZu'bi, M. Al-Din
This paper investigates stability of a drive system incorporating a high-field PM synchronous motor with the aim of identifying a real-time stability index by means of an algorithm based on the Lyapunov method. Results from computer simulation show that the first principal minor (MINR1) of the Lyapunov function has a distinct sign change in the region of interest. Such an important finding makes it possible to use MINR1 as a real-time stability index. A computer controller based on the computed stability index is therefore suggested to drive the system at power factors closer to unity (i.e., maximum efficiency), except if the constraints specified by MINR1 dictate otherwise.
本文研究了含高场永磁同步电机的驱动系统的稳定性,目的是利用基于李亚普诺夫方法的算法确定实时稳定性指标。计算机模拟结果表明,Lyapunov函数的第一主次函数(MINR1)在感兴趣区域有明显的符号变化。这一重要发现使MINR1作为实时稳定性指标成为可能。因此,建议采用基于计算出的稳定性指数的计算机控制器,以更接近于统一的功率因数(即最大效率)驱动系统,除非MINR1规定的约束另有规定。
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引用次数: 2
期刊
2008 5th International Multi-Conference on Systems, Signals and Devices
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