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2007 IEEE International Conference on Signal Processing and Communications最新文献

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Instantaneous Frequency based Study of the Effects of Physical Training on Muscle Fiber Recruitment Strategy 基于瞬时频率的体育训练对肌纤维补充策略影响的研究
Pub Date : 2007-11-01 DOI: 10.1109/ICSPC.2007.4728393
A. Qazi, B.U. Afsheen, C.L.K. Stergioulas, D.A. Blazevich
The paper explores the application of instantaneous frequency (IF) analysis on EMG signals measured voluntarily across a period of 10 week physical training. The aim is to explore the effects of training on the muscle fiber recruitment strategy. The findings are presented and discussed, which suggest a link between training and motor unit synchronization. The paper also show-cases the effectiveness of IF methods for EMG data analysis.
本文探讨了瞬时频率(IF)分析在10周体育训练期间自愿测量的肌电信号中的应用。目的是探讨训练对肌纤维补充策略的影响。研究结果提出和讨论,这表明训练和运动单元同步之间的联系。本文还展示了中频方法在肌电数据分析中的有效性。
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引用次数: 0
On Stability and Radio Capacity in UMTS System UMTS系统稳定性与无线电容量研究
Pub Date : 2007-11-01 DOI: 10.1109/ICSPC.2007.4728565
S. Hamouda, P. Godlewski, S. Tabbane
In this paper, we present new results regarding stability and radio capacity in UMTS system. We examine both uplink and downlink cases. We particularly give an upper bound of system stability in the uplink according to activity and inter-to-intracellular interference factors. We show that if the entire system is not very loaded and the activity is low, and if the SINR target is high, the probability that the uplink transmit power exceeds the maximum allowed value is around 5%. As for the downlink, we examine the impact of the users' distribution in the radio capacity as well as the system stability. Simulation results proved that the downlink radio capacity can be lessened by almost the third according to the users' distribution in the cell. More importantly, the system can reach the asymptotic capacity in 20% of the cases because of users' location in the cell.
在本文中,我们提出了关于UMTS系统的稳定性和无线电容量的新结果。我们检查上行链路和下行链路的情况。我们特别根据活动性和细胞间到细胞内干扰因素给出了上行系统稳定性的上界。我们表明,如果整个系统负载不是很大,活动很低,如果SINR目标很高,上行发射功率超过最大允许值的概率在5%左右。对于下行链路,我们考察了用户分布对无线容量的影响以及系统的稳定性。仿真结果表明,根据小区内用户的分布,下行无线容量可以减少近三分之一。更重要的是,由于用户在小区中的位置,系统在20%的情况下可以达到渐近容量。
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引用次数: 5
Hypercube versus Torus under Pin-Out Constraint and Finite Buffers Pin-Out约束和有限缓冲下的超立方体与环面
Pub Date : 2007-11-01 DOI: 10.1109/ICSPC.2007.4728376
N. Alzeidi, M. Ould-Khaoua, J. Ferguson
Previous studies have shown that when the network is subject to the pin-out constraint, the network topology exhibiting the best performance depends on the network size. These studies have assumed single flit buffers. Deploying finite size buffers, however, may add extra complexity to the router design and hence will influence the cost and the performance of the network. This paper reinvestigates analytically the relative performance merits of different k-ary n-cube topologies combining wormhole switching, adaptive routing, multiple virtual channels and finite size buffers. The results reveal new insights demonstrating the sensitivity of these studies to the level of detail and realism incorporated in the analysis.
以往的研究表明,当网络受到引脚约束时,表现出最佳性能的网络拓扑结构取决于网络的大小。这些研究假设了单次飞行缓冲。然而,部署有限大小的缓冲区可能会增加路由器设计的额外复杂性,从而影响网络的成本和性能。本文重新分析了结合虫洞交换、自适应路由、多虚拟信道和有限大小缓冲区的不同k元n立方拓扑的相对性能优势。结果揭示了新的见解,证明了这些研究对分析中包含的细节和现实主义水平的敏感性。
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引用次数: 0
Robust Iris Feature Extraction using Dual Tree Complex Wavelet Transform 基于双树复小波变换的鲁棒虹膜特征提取
Pub Date : 2007-11-01 DOI: 10.1109/ICSPC.2007.4728484
A. S. Narote, S. P. Narote, L. Waghmare, M. Kokare
This paper represents a new method for iris recognition using the dual tree complex wavelet transform. For the dual filter tree, we select two linear phase biorthogonal filter sets with odd and even lengths which is used to filter each signal for quantization to 136 byte iris feature codes. Then the Hamming distance is adopted to match two iris codes. In particular, the appropriate scale for each signal is searched for by minimizing the Hamming distance. The experimental results on CASIA database shows reliability and performance that the performance of this method is better than some algorithms, so it is promising to be used in a personal identification system.
提出了一种利用对偶树复小波变换进行虹膜识别的新方法。对于双滤波器树,我们选择两个奇数和偶数长度的线性相位双正交滤波器集,用于将每个信号量化为136字节的虹膜特征码。然后采用汉明距离对两个虹膜码进行匹配。特别地,通过最小化汉明距离来寻找每个信号的合适尺度。在CASIA数据库上的实验结果表明了该方法的可靠性和性能,表明该方法的性能优于一些算法,在个人身份识别系统中具有广阔的应用前景。
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引用次数: 3
Modeling and Characterization of a Mechatronics System for Human Stress Detection 人体应力检测机电一体化系统的建模与表征
Pub Date : 2007-11-01 DOI: 10.1109/ICSPC.2007.4728458
M. Shibli, M. Sharawi
Characterization and modeling of a mechatronics human stress detection system is proposed. By modeling the compression forces acting on a cylindrical membrane from a human fingertip, a partial differential equation (PDE) is solved for the dynamic response identifying the motion eigenvalues. These values depend on the membrane dimensions, the area-density of the material and the compression force. The model can be applied to the human fingertip, thus obtaining the human stress eigenvalues. Such eigenvalues depend on the dimensions of the fingertip, the internal stress force (mechanical factor) and the area-density (thickness) of the skin (biological factor). Utilization of such a model can explain why a fat person is less stress than a slim one. Simulation results as well as an implementation model are presented.
提出了一种机电一体化人体应力检测系统的表征和建模方法。通过模拟人体指尖作用在圆柱形膜上的压缩力,求解了动力响应的偏微分方程,并确定了运动特征值。这些值取决于膜的尺寸、材料的面积密度和压缩力。该模型可应用于人体指尖,从而获得人体应力特征值。这些特征值取决于指尖的尺寸、内应力(机械因素)和皮肤的面积密度(厚度)(生物因素)。利用这种模型可以解释为什么肥胖的人比苗条的人压力小。给出了仿真结果和实现模型。
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引用次数: 2
Identifying Neural Discharges using Time-Frequency Distributions for EEG 利用脑电图时频分布识别神经放电
Pub Date : 2007-11-01 DOI: 10.1109/ICSPC.2007.4728631
C. Guerrero-Mosquera, A. N. Vázquez, A. Trigueros
This paper presents a time-frequency approach as a nonlinear signal EEG processing technique. The proposed method is based on the use of the Smoothed Pseudo Wigner-Ville distribution (SPWV) good resolution combined with McAulay-Quatieri (MQ) sinusoidal model to identify a neural discharge. The initial results show the algorithm as a suitable method to develop an automatic detector based on graphics patterns parameterized by the features present in the neural discharges on the time-frequency plane. We obtained three features based on energy, frequency and tracking and the algorithm is tested in an application with epileptic EEGs. We can isolate a continuous energy trace with other oscillations when the epileptic seizure is beginning. This characteristic is always present in 16 different seizures from 6 epileptic patients.
本文提出了一种时频方法作为非线性信号脑电信号处理技术。该方法基于平滑伪Wigner-Ville分布(SPWV)良好的分辨率,结合McAulay-Quatieri (MQ)正弦模型来识别神经放电。初步结果表明,该算法是基于神经放电在时频平面上的特征参数化的图形模式来开发自动检测器的合适方法。我们得到了基于能量、频率和跟踪的三个特征,并在癫痫脑电图的应用中进行了测试。当癫痫发作开始时,我们可以分离出连续的能量轨迹和其他振荡。这一特征在6例癫痫患者的16次不同发作中均有表现。
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引用次数: 0
An Augmented Wavelet - Neuro-Fuzzy Module for Enhancing MEMS based Navigation Systems 一种增强小波神经模糊模组的MEMS导航系统
Pub Date : 2007-11-01 DOI: 10.1109/ICSPC.2007.4728575
A. El-Shafie, A. Noureldin, M. Bayoumi
Low cost navigation systems relying on gyroscopes and accelerometers manufactured using micro electro-mechanical system (MEMS) technology have been recently utilized in land vehicles. These MEMS-based sensors are integrated with GPS to provide reliable positioning solutions in case of GPS outages that commonly occur in urban areas. The major inadequacies of MEMS-based navigation sensors are the high noise level and the large bias instabilities that are stochastic in nature. The effects of these inadequacies manifest themselves as large position errors during GPS outages. This research proposes the utilization of wavelet denoising to improve the signal-to-noise ratio of each of the MEMS-based sensors. In addition a neuro-fuzzy module is used to provide a reliable prediction of the vehicle position during GPS outages. The results from a road test experiment show the effectiveness of the proposed wavelet - neuro-fuzzy module.
基于微机电系统(MEMS)技术制造的陀螺仪和加速度计的低成本导航系统最近在陆地车辆上得到了应用。这些基于mems的传感器与GPS集成在一起,在城市地区经常发生GPS中断的情况下提供可靠的定位解决方案。基于mems的导航传感器的主要缺点是噪声水平高,且具有较大的随机偏置不稳定性。这些不足的影响在GPS中断期间表现为较大的位置误差。本研究提出利用小波去噪来提高各mems传感器的信噪比。此外,一个神经模糊模块用于在GPS中断时提供可靠的车辆位置预测。道路试验结果表明了所提出的小波-神经模糊模块的有效性。
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引用次数: 5
Improving the Processing Power Efficiency of Minimum Selection GSC with Adaptive Modulation and Post-Combining Power Control 采用自适应调制和后组合功率控制提高最小选择GSC的处理功率效率
Pub Date : 2007-11-01 DOI: 10.1109/ICSPC.2007.4728247
Z. Bouida, Mohamed-Slim Alouini, K. Qaraqe
Many joint adaptive modulation and diversity combining (JAMDC) schemes have been recently proposed to improve the performance and efficiency of wireless communication systems. Considering the problem of finding low-complexity, bandwidth-efficient, and processing-power efficient transmission schemes for a downlink scenario and capitalizing on one of these recently proposed JAMDC schemes, we propose and analyze in this paper a JAMDC scheme using post combining power control and finger deactivation. More specifically, the modulation constellation size and the number of combined diversity paths are jointly determined to achieve the highest spectral efficiency with the lowest possible combining complexity, given the fading channel conditions and the required error rate performance. Selected numerical examples show that the newly proposed scheme considerably reduces the processing power consumption with a slight increase in the radiated power while maintaining high average spectral efficiency and compliance with bit error rate constraints.
为了提高无线通信系统的性能和效率,近年来提出了许多联合自适应调制和分集组合(JAMDC)方案。考虑到为下行场景寻找低复杂度、带宽效率和处理功率效率的传输方案的问题,并利用这些最近提出的JAMDC方案之一,我们提出并分析了一种使用后组合功率控制和手指失活的JAMDC方案。更具体地说,在给定衰落信道条件和所需错误率性能的情况下,共同确定调制星座的大小和组合分集路径的数量,以在尽可能低的组合复杂度下实现最高的频谱效率。所选的数值算例表明,新方案在保持较高的平均频谱效率和符合误码率约束的同时,在辐射功率略有增加的情况下显著降低了处理功耗。
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引用次数: 2
Transmit Diversity over a Frequency Selective Fading Channel : Turbo Deflation and Turbo Decoding 频率选择性衰落信道上的传输分集:Turbo压缩和Turbo解码
Pub Date : 2007-11-01 DOI: 10.1109/ICSPC.2007.4728284
O. Benrhouma, S. Houcke, A. Bouallègue
In this article, we introduce a blind MIMO communication scheme allowing the transmission over a frequency selective channel based on the turbo deflation described in [1]. Our proposed method is based on an iterative receiver. We incorporate an error correcting code in our method of source separation. Our new method consists simply in combining our initial method and a turbo decoder. We show that our procedure improves performances. Our scheme uses 2 transmit antennas and K (K ges 2) received antennas. This kind of blind system is well suited for underwater communications.
在本文中,我们介绍了一种盲MIMO通信方案,允许在基于[1]中描述的涡轮压缩的频率选择信道上传输。我们提出的方法是基于一个迭代的接收器。我们在源分离方法中加入了一个纠错码。我们的新方法仅仅是将我们最初的方法和一个涡轮解码器结合起来。我们证明了我们的程序提高了性能。我们的方案使用2个发射天线和K (K ges 2)个接收天线。这种盲系统非常适合于水下通信。
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引用次数: 0
A Hybrid Kalman/γH∞ Filter for Maneuvering Target Tracking 一种用于机动目标跟踪的混合卡尔曼/γH∞滤波器
Pub Date : 2007-11-01 DOI: 10.1109/ICSPC.2007.4728557
M. S. Kemouche, N. Aouf, A. Tsourdos, B. White
In air surveillance systems, Kalman filter and its derives have been largely used for real-time multiple target tracking, where minimization of calculation burdens is greatly desired. While non-maneuvering targets can be accurately tracked by using a Kalman filter with a constant velocity model, a maneuvring target might be miss-tracked since prediction errors increase significantly. The H∞ filter is the robust filter, which does change its characteristics depending on the parameterγ. In order to track accurately not only non-maneuvering but also highly maneuvering target, we propose, in this paper, a variable γH∞, filter with an acceleration term when a maneuver is detected.
在空中监视系统中,卡尔曼滤波及其衍生算法被广泛地应用于实时多目标跟踪中,这类跟踪需要最大限度地减少计算量。采用等速模型的卡尔曼滤波可以对非机动目标进行精确跟踪,但对机动目标进行跟踪时,由于预测误差增大,可能会出现失跟踪。H∞滤波器是鲁棒滤波器,它的特性会随参数γ而改变。为了既能准确跟踪非机动目标,又能准确跟踪高机动目标,本文提出了一种具有机动检测加速度项的可变γ - h∞滤波器。
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引用次数: 1
期刊
2007 IEEE International Conference on Signal Processing and Communications
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