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Iris pattern extraction using bit planes and standard deviations 使用位平面和标准偏差提取虹膜图案
B. Bonney, R. Ives, D. Etter, Yingzi Du
Iris recognition has been shown to be very accurate for human identification. In this paper, we develop a technique for iris pattern extraction utilizing the least significant bit-plane: the least significant bit of every pixel in the image. Through binary morphology applied to the bit-plane, the pupillary boundary of the iris is determined. The limbic boundary is identified by evaluating the standard deviation of the image intensity along the vertical and horizontal axes. Because our extraction approach restricts localization techniques to evaluating only bit-planes and standard deviations, iris pattern extraction is not dependent on circular edge detection. This allows for an expanded functionality of iris identification technology by no longer requiring a frontal view, which leads to the potential for off-angle iris recognition technology. Initial results show that it is possible to fit a close elliptical approximation to an iris pattern by using only bit-planes and standard deviations for iris localization.
虹膜识别已被证明是非常准确的人类身份识别。在本文中,我们开发了一种利用最低有效位平面的虹膜模式提取技术:图像中每个像素的最低有效位。通过将二值形态学应用于位平面,确定虹膜瞳孔边界。边缘边界是通过评估沿垂直和水平轴的图像强度的标准偏差来确定的。由于我们的提取方法限制了定位技术仅评估位平面和标准偏差,虹膜图案提取不依赖于圆形边缘检测。这允许虹膜识别技术的扩展功能,不再需要正面视图,这导致潜在的非角度虹膜识别技术。初步结果表明,仅使用位平面和标准偏差进行虹膜定位,就可以拟合虹膜模式的近椭圆近似。
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引用次数: 55
Efficient implementation of digital filters using novel reconfigurable multiplier blocks 利用新颖的可重构乘法器块高效实现数字滤波器
S. Demirsoy, I. Kale, A. Dempster
Reconfigurable multiplier blocks (ReMB) offer significant complexity reductions in multiple constant multiplications in time-multiplexed digital filters. In this paper the ReMB technique is employed in the implementation of a half-band 32-tap FIR filter on both Xilinx Virtex FPGA and UMC 0.18 /spl mu/m CMOS technologies. Reference designs have also been built by deploying standard time-multiplexed architectures and off-the-shelf Xilinx core generator system for the FPGA design. All designs are then compared for their area and delay figures. It is shown that, the ReMB technique can significantly reduce the area for the multiplier circuitry and the coefficient store, as well as reducing the delay.
可重构乘法器块(ReMB)可显著降低时间复用数字滤波器中多次常数乘法的复杂度。本文采用ReMB技术在Xilinx Virtex FPGA和UMC 0.18 /spl mu/m CMOS技术上实现了半带32分接FIR滤波器。通过为FPGA设计部署标准时间复用架构和现成的Xilinx核心生成器系统,还构建了参考设计。然后比较所有设计的面积和延迟数字。结果表明,ReMB技术可以显著减少乘法器电路的面积和系数存储,并降低延迟。
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引用次数: 49
DOA and polarization estimation for wideband sources 宽带源的DOA和极化估计
B. A. Obeidat, Yimin D. Zhang, M. Amin
This paper presents an approach for direction-of-arrival (DOA) and polarization estimations of far-field wideband signals using an array of cross-polarized dual-feed sensors. The wideband signals are decomposed into a set of narrowband signals. The coherent signal subspace processing technique is then applied to dimensionally extended source signal correlation matrices to construct a signal subspace. The utilization of polarization diversity through the use of a dual-feed cross-polarized array to process the polarized source signals lends an additional degree of freedom, leading to performance improvement over the case where only a single-polarization array is used.
本文提出了一种利用交叉极化双馈传感器阵列对远场宽带信号进行到达方向(DOA)和偏振估计的方法。宽带信号被分解成一组窄带信号。然后将相干信号子空间处理技术应用于维度扩展的源信号相关矩阵,构建信号子空间。利用极化分集,通过使用双馈交叉极化阵列来处理极化源信号,提供了额外的自由度,导致性能优于仅使用单极化阵列的情况。
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引用次数: 2
Subspace estimators of direction of arrival 到达方向的子空间估计量
B. G. Quinn
We consider in this paper a class of techniques for the estimation of the direction of arrival of a narrowband signal. Eigenvectors of a spectral covariance matrix corresponding to a number of the lowest eigenvalues are used to estimate the bearing. It is shown that the estimator has a non-standard asymptotic distribution.
本文考虑了一类估计窄带信号到达方向的技术。光谱协方差矩阵的特征向量对应于一些最低特征值,用于估计方位。证明了该估计量具有非标准渐近分布。
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引用次数: 0
Regularized MRE method for blind multichannel image deconvolution 正则化多通道图像盲反卷积方法
W. Souidène, Azeddine Beghdadi, K. Abed-Meraim, B. Mouhouche
In this paper we deal with blind image restoration in a multi-channel framework. We use the mutually referenced equalizers (MRE) in order to perform exact image restoration in the noiseless case and under some identifiability conditions. In presence of noise, this method fails to restore correctly the original image. So, we introduce a regularization term to improve the restored image quality. We introduce two regularization techniques: a norm minimization scheme and an eigen value truncation scheme in order to perform the regularization and reduce the noise amplification assigned to image restoration. We compare the performance gain of our method for different number of observed images with the mono-channel case. We evaluate the performance of our method using an image similarity index.
本文主要研究多通道框架下的图像盲恢复问题。为了在无噪声情况下和某些可识别条件下进行精确的图像恢复,我们使用了互参考均衡器(MRE)。在存在噪声的情况下,该方法不能正确地恢复原始图像。因此,我们引入正则化项来提高恢复图像的质量。我们引入了两种正则化技术:范数最小化方案和特征值截断方案,以执行正则化并减少分配给图像恢复的噪声放大。我们比较了我们的方法在不同数量的观察图像和单通道情况下的性能增益。我们使用图像相似度指数来评估我们的方法的性能。
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引用次数: 1
Bit-interleaved turbo-coded noncoherent orthogonal modulation with iterative demodulation and decoding: capacity limits and convergence analysis 具有迭代解调和解码的位交错涡轮编码非相干正交调制:容量限制和收敛分析
S. Cheng, M. Valenti
This paper studies bit interleaved coded modulation (BICM) using noncoherent orthogonal modulation (e.g. NFSK). To improve performance, information is fed from the decoder back to the demodulator, using the recently proposed strategy known as BICM with iterative demodulation (BICM-ID). The capacity of noncoherent orthogonal modulation under BICM constraints is compared against that with joint demodulation and decoding (which BICM-ID approximates). Also, the convergence behavior of iterative demodulation with turbo decoding is investigated by using density evolution.
本文研究了基于非相干正交调制(如NFSK)的比特交织编码调制(BICM)。为了提高性能,使用最近提出的BICM迭代解调(BICM- id)策略,将信息从解码器馈送回解调器。比较了BICM约束下的非相干正交调制与联合解调译码(BICM- id近似)的容量。同时,利用密度演化理论研究了迭代解调turbo译码的收敛性。
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引用次数: 9
Achieving carrier class availability of FSO link via a complementary RF link 通过互补的射频链路实现无线通信链路的载波级可用性
Haiping Wu, B. Hamzeh, Mohsen Kavehrad
Due to the difficulty of deploying fiber-to-home, the solution for the last-mile problem remains an unsolved challenge. Among all the alternatives, free-space optics (FSO) shows great potential due to its non-interfering nature and abundant available bandwidth. However, because the operational status of an FSO link is highly weather dependent, feasibility of using FSO to deliver data to end-users remains questionable. A hybrid architecture that utilizes the complementary nature of FSO and radio frequency (RF) links with respect to their individual weather sensitivities has been proposed to significantly increase availability. According to this architecture, we developed a channel model integrating the RF and FSO channels. Experimental measurements are also taken into account in order to verify validity of the model. Based on the model and available weather condition data, we concluded that the hybrid link does demonstrate significantly better availability than the FSO alone case. Carrier class availability can be achieved.
由于部署光纤到户的困难,最后一英里问题的解决方案仍然是一个未解决的挑战。其中,自由空间光学(FSO)以其抗干扰性和丰富的可用带宽显示出巨大的潜力。然而,由于FSO链路的运行状态高度依赖于天气,使用FSO向最终用户传输数据的可行性仍然存在疑问。已经提出了一种混合架构,利用FSO和射频(RF)链路在各自天气敏感性方面的互补性,以显著提高可用性。根据这一架构,我们开发了一个集成射频和FSO信道的信道模型。为了验证模型的有效性,还考虑了实验测量。基于模型和可用的天气条件数据,我们得出结论,混合链路确实比FSO单独的情况显示出明显更好的可用性。可以实现航母级的可用性。
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引用次数: 35
Accelerating LDPC decoding using multiple-cycle eigenmessages 利用多周期特征报文加速LDPC解码
J. S. Crockett, T. Moon, J. Gunther, O. Chauhan
The eigenmessage decoder O. Chauhan et al. (2003) expresses a degree of nonlocality in a message passing decoder by representing an entire cycle in a single linear equation. The eigenvector for the linear message passing matrix represents a fixed point of the message passing algorithm around a cycle and has been shown to significantly decrease the number of iterations required for low-density parity-check (LDPC) decoding using message passing. In this paper, we extend the eigenmessage idea to simultaneously solving for a fixed point of multiple cycles. The representation is thus nonlocal over a broader section of the graph. This multiple-cycle eigenmessage algorithm shows improvement over traditional belief propagation (BP) methods. We present and compare results for the new algorithm and consider possible variations.
特征信息解码器O. Chauhan等人(2003)通过在单个线性方程中表示整个循环来表达信息传递解码器中的一定程度的非局部性。线性消息传递矩阵的特征向量表示消息传递算法在一个周期内的固定点,并且已被证明可以显着减少使用消息传递进行低密度奇偶校验(LDPC)解码所需的迭代次数。本文将特征信息思想推广到同时求解多环不动点。因此,表示在图的更广泛的部分上是非局部的。与传统的信念传播(BP)方法相比,该多周期特征消息算法有了改进。我们提出并比较了新算法的结果,并考虑了可能的变化。
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引用次数: 1
Segmentation-based noise suppression for speech coders using auxiliary sensors 基于分段的辅助传感器语音编码器噪声抑制
C. Demiroğlu, S. Kamath, D.V. Anderson, M. Clements, T. Barnwell
Despite the significant progress, low perceptual quality of encoded noisy speech is still an unsolved problem. The quality problem at noisy environments is addressed for MELP speech encoder by using a novel speech enhancement algorithm at the front-end. The speech signal is segmented into broad phonetic classes using auxiliary sensors in addition to the acoustic microphone. Each phoneme class is enhanced by suppressing maximum noise while minimally distorting perceptually important cues using the acoustic-phonetic knowledge about the class. The A/B quality test shows significant improvement over the MELPe coder that uses MMSE algorithm for enhancement.
尽管取得了重大进展,但编码噪声语音的低感知质量仍然是一个未解决的问题。通过在前端采用一种新颖的语音增强算法,解决了MELP语音编码器在噪声环境下的质量问题。除了声学麦克风外,还使用辅助传感器将语音信号分割成广泛的语音类。每个音素类都是通过最大程度地抑制噪声来增强的,同时利用有关音素类的声学-语音知识最小程度地扭曲感知上重要的线索。A/B质量测试显示,与使用MMSE算法进行增强的MELPe编码器相比,有了显著的改进。
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引用次数: 4
Robust direction finding 鲁棒测向
R. Vaccaro, N. Owsley
This paper considers the problem of estimating directions of arrival (DOAs) from sensor-array data when the positions of the sensors are not precisely known. The proposed algorithm is an extension of a previously developed approach based on weighted subspace fitting. The new algorithm shows improved robustness with respect to sensor position perturbations, particularly when estimating the DOAs of weak sources. The robust algorithm treats the sensor position perturbations as unknown deterministic parameters and estimates them jointly with the DOAs.
本文研究了在传感器位置不精确的情况下,利用传感器阵列数据估计到达方向的问题。该算法是对先前开发的基于加权子空间拟合的方法的扩展。新算法对传感器位置扰动的鲁棒性有所提高,特别是在估计弱源的doa时。鲁棒算法将传感器位置扰动视为未知的确定性参数,并与doa联合估计。
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引用次数: 1
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Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004.
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