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Low complexity image compression algorithm using AMBTC and bit plane squeezing 基于AMBTC和位平面压缩的低复杂度图像压缩算法
Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931432
Saad Al-Azawi, S. Boussakta, Alexandre Yakovlev
This paper introduces a low complex image compression algorithm. The proposed algorithm is a combination of pattern squeezing, moments re-quantizing, absolute moments block truncation coding (AMBTC) and a postprocessing unit. One advantage of the proposed algorithm is that it reduces and controls the higher bit rate of the AMBTC while preserving a reasonable image quality. The complexity reduction has been accomplished by utilizing only four (2×2) bit patterns rather than a 32 or 64 (4×4) pattern fitting. This proposed size of pattern fitting reduces the computation costs by reducing the time and arithmetic operations required to search for the best match plane. The four (2×2) bit planes offer the advantage of bit rate control by performing multi level bit plane reduction. This operation has been named pattern squeezing. The algorithm performance has shown good image quality with lower bit rate.
介绍了一种低复杂度的图像压缩算法。该算法将模式压缩、矩重量化、绝对矩块截断编码(AMBTC)和后处理单元相结合。该算法的一个优点是在保持合理的图像质量的同时降低和控制了AMBTC的高比特率。复杂度降低是通过只利用4位模式(2×2)而不是32位或64位模式(4×4)来实现的。这种模式拟合的大小通过减少搜索最佳匹配平面所需的时间和算术运算来降低计算成本。四个(2×2)位平面通过执行多级位平面缩减提供了比特率控制的优势。这个操作被命名为模式压缩。该算法在较低的比特率下显示出良好的图像质量。
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引用次数: 4
An iterative speech encryption scheme based on subspace technique 一种基于子空间技术的迭代语音加密方案
Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931512
Atef Mermoul
Among the cryptographic approaches, signal processing techniques has become recently an interesting one. Blind source separation (BSS)-based encryption schemes have been built up using the intractability of the under determined BSS problem. In this paper, we propose a new encryption method. The proposed approach is iterative and based on the subspace concept together with the use of nonlinear functions and key signals. The proposed technique presents an interesting feature: only a part of the secret key parameters used during encryption is necessary for decryption. Furthermore, the iterative encryption algorithm will provide no contents if no plain-text is fed in the input.
在各种密码学方法中,信号处理技术是近年来研究的热点之一。利用不确定盲源分离问题的难解性,建立了基于盲源分离(BSS)的加密方案。本文提出了一种新的加密方法。该方法基于子空间概念,结合非线性函数和关键信号,具有迭代性。提出的技术有一个有趣的特点:加密过程中使用的密钥参数只有一部分是解密所必需的。此外,如果在输入中没有提供明文,迭代加密算法将不提供内容。
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引用次数: 6
Multiple target tracking and classification using the unscented probability hypothesis density filter 基于无气味概率假设密度滤波的多目标跟踪与分类
Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931461
M. Melzi, A. Ouldali, Z. Messaoudi
Tracking an unknown and time varying number of targets is a difficult issue. The Unscented Probability Hypothesis Density Filter (UKPHD) tackles this problem, moreover, it allows the estimation of both the number of targets and their states without any data association steps by considering the target states as a single global target state, its a closed-form solution for the probability hypothesis density (PHD) filter that deals with non linear systems, it propagates the first-order moment of the multitarget posterior instead of the posterior distribution itself because evaluating the multiple-target posterior distribution is currently computationally intractable for real-time applications in multiple Target tracking problems. However, targets are poorly described by a single dynamic model, in fact, they may change their kinematic model at any time which makes the tracking algorithm incapable of estimating efficiently the true trajectories. The Interacting Multiple Model (IMM) algorithm is used to address this. The IMM uses multiple models to describe targets behavior and adaptively determines which model(s) are the most appropriate at each time step. In this paper, we present a new interacting multiple model Unscented probability hypothesis density filter (IMM-UKPHD) to deal with the problem of tracking a time varying number of maneuvering targets. In our approach, a bank of Unscented probability hypothesis density filters is used in the interacting multiple model (IMM) framework for updating the state of moving targets. Simulation results show the efficiency of the proposed algorithm.
跟踪数量未知且随时间变化的目标是一个难题。Unscented概率假设密度滤波器(UKPHD)解决了这个问题,此外,它允许在没有任何数据关联步骤的情况下,通过将目标状态视为单个全局目标状态来估计目标数量及其状态,它是处理非线性系统的概率假设密度(PHD)滤波器的封闭形式解决方案。它传播多目标后验的一阶矩,而不是后验分布本身,因为目前在多目标跟踪问题的实时应用中,评估多目标后验分布在计算上很困难。然而,单一的动态模型很难描述目标,而且目标的运动模型可能随时发生变化,这使得跟踪算法无法有效地估计目标的真实轨迹。交互多模型(IMM)算法用于解决这个问题。IMM使用多个模型来描述目标行为,并自适应地确定在每个时间步中哪个模型是最合适的。针对时变机动目标的跟踪问题,提出了一种新的互作用多模型无气味概率假设密度滤波器(IMM-UKPHD)。在我们的方法中,在交互多模型(IMM)框架中使用一组Unscented概率假设密度滤波器来更新运动目标的状态。仿真结果表明了该算法的有效性。
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引用次数: 1
Obstacle detection with 3D camera using U-V-Disparity 使用u - v -视差的3D相机障碍物检测
Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931462
Yuan Gao, X. Ai, J. Rarity, N. Dahnoun
Obstacle detection has been one of the most critical features for reliable driving scene analysis. This paper presents an approach for an automatic obstacle detection system. The proposed system makes use of depth information generated by a 3D camera mounted on the front of a moving vehicle. Obstacles projected as line features in the V-U-Disparity map can be extracted to detect the road surface and obstacles. A Steerable Filter is employed at an early stage to dramatically lower the noise. Furthermore, a modified Hough Transform is placed to extract the straight line feature from the depth map with improved accuracy. The system is robust in dealing with fault detection caused by roadside features which is a commonly shared problem in many other obstacle detection approaches.
障碍物检测一直是可靠的驾驶场景分析的关键特征之一。本文提出了一种自动障碍物检测系统的实现方法。该系统利用安装在移动车辆前部的3D摄像机生成的深度信息。在v - u -视差图中以线特征投影的障碍物可以被提取出来检测路面和障碍物。在早期阶段采用可操纵滤波器来显著降低噪声。利用改进的霍夫变换提取深度图中的直线特征,提高了提取精度。该系统在处理由路边特征引起的故障检测方面具有鲁棒性,这是许多其他障碍物检测方法普遍存在的问题。
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引用次数: 12
Elliptic Curve Cryptography and its applications 椭圆曲线密码及其应用
Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931464
M. Amara, Amar Siad
The idea of Elliptic Curve Cryptography (ECC), and how it's a better promise for a faster and more secure method of encryption in comparison to the current standards in the Public-Key Cryptographic algorithms of RSA is discussed in this paper. The Elliptic Curve Cryptography covers all relevant asymmetric cryptographic primitives like digital signatures and key agreement algorithms. The function used for this purpose is the scalar multiplication k.P which is the core operation of ECCs. Where k is an integer and P is a point on an elliptic curve. This article explains the role of ECC in the network security. ECC's uses with smaller keys to provide high security and high speed.
本文讨论了椭圆曲线加密(ECC)的思想,以及与RSA公钥加密算法中的现行标准相比,它如何更好地承诺提供更快、更安全的加密方法。椭圆曲线密码学涵盖了所有相关的非对称密码学原语,如数字签名和密钥协议算法。用于此目的的函数是标量乘法kp,它是ecc的核心操作。k是一个整数,P是椭圆曲线上的一个点。本文阐述了ECC在网络安全中的作用。ECC使用更小的密钥来提供高安全性和高速度。
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引用次数: 92
LSF-CMA based blind equalization algorithms for MC-CDMA systems 基于LSF-CMA的MC-CDMA系统盲均衡算法
Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931452
A. B. Djebbar
In this paper, a new blind equalization for multiuser multi-carrier code division multiple access (MC-CDMA) systems under Rayleigh multipath fading channel is proposed. The later causes the ICI and ISI that destroy the relationship of the guard interval (GI) redundancy. Through exploiting the structural properties of MC-CDMA transmitted signal, the estimation can be resolved using least square fitting (LSF) and subspace approaches. Indeed, GI redundancy together with excess codes (EC) are used to restore the MC-CDMA properties. In addition, we propose the use of the previous algorithms in conjunction with a constant modulus algorithm (CMA) to improve the performance gain. Our simulation results show the robustness and effectiveness of the proposed algorithms.
针对瑞利多径衰落信道下的多用户多载波码分多址(MC-CDMA)系统,提出了一种新的盲均衡方法。后者导致ICI和ISI,破坏了GI冗余的关系。通过利用MC-CDMA传输信号的结构特性,利用最小二乘拟合和子空间方法解决了估计问题。实际上,GI冗余和多余码(EC)被用来恢复MC-CDMA的特性。此外,我们建议将先前的算法与恒模算法(CMA)结合使用,以提高性能增益。仿真结果表明了所提算法的鲁棒性和有效性。
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引用次数: 1
Performance limitations of an optical RZ-DPSK transmission system affected by frequency chirp, chromatic dispersion and polarization mode dispersion 频率啁啾、色散和偏振模色散对RZ-DPSK光传输系统性能限制的影响
Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931440
L. Kassa-Baghdouche, L. M. Simohamed
The performance limitations due to the combined effects of frequency chirp and CD or PMD in a 40 Gbit/s optical Return-to-Zero Differential Phase-Shift-Keying (RZ-DPSK) transmission system are numerically simulated. By means of numerical simulations, we optimize the bandwidths of the optical and electrical receiver's filters. Then, the impact of the Chirp factor (C) on the Bit Error Rate (BER) performance is analyzed when the received signal is filtered by two types of optical filter (Fabry-Perot filter (FP) or Fiber Bragg Grating filter (FBG)). The optical power penalties caused by the Frequency Chirp impact at BER of 10−9 in the presence of CD or PMD are evaluated. Simulation results show that, without CD and PMD the system suffer a significant amount of power penalties due to the Chirp factor, and the optical filter has no influence on the power penalties. However, it is found that with CD or PMD, the optical filter has significant influence on the power penalty, and with CD the system which uses FBG filter always performs better than the one which uses FP filter, whereas with PMD the better performances switch from FBG filter to FP filter. This provides the basis for tradeoff between FP and FBG filter performances through careful selection of a suitable optical filter to high speed optical transmission system.
数值模拟了40 Gbit/s光归零差分相移键控(RZ-DPSK)传输系统中由于频率啁啾和CD或PMD的综合影响而导致的性能限制。通过数值模拟,优化了光接收机和电接收机滤波器的带宽。然后,分析了接收信号经两种滤光器(法布里-珀罗滤光器(FP)或光纤布拉格光栅滤光器(FBG)滤波后,啁啾因子(C)对误码率(BER)性能的影响。在CD或PMD存在的情况下,由误码率为10−9的频率啁啾影响引起的光功率损失进行了评估。仿真结果表明,在没有CD和PMD的情况下,系统由于啁啾因素而受到很大的功率损失,而光学滤波器对功率损失没有影响。然而,研究发现,无论是光阻还是PMD,光滤光片对功率惩罚的影响都是显著的,并且使用FBG滤波器的系统性能总是优于使用FP滤波器的系统,而使用PMD时,性能从FBG滤波器切换到FP滤波器。这为在高速光传输系统中选择合适的滤光片来权衡FP和FBG滤光片的性能提供了依据。
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引用次数: 1
On the diversity of the Naive Lattice Decoder 朴素格解码器的多样性
Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931516
Asma Mejri, Laura Luzzi, G. R. Othman
“Naive Lattice Decoding” (NLD) and its low-complexity approximations such as lattice reduction-aided linear decoders represent an alternative to Maximum Likelihood lattice decoders for MIMO systems. Their diversity order has been investigated in recent works. These showed that the NLD achieves only the receive diversity and that MMSE-GDFE left preprocessing followed by NLD or its approximations achieves the maximum diversity. All the theoretical results have so far focused on the diversity order but this is not the only relevant parameter to achieve good performance and the coding gain also needs to be considered. In addition, up to now there has not been any numerical analysis of the actual performance of these techniques for the coded systems for moderate SNR. In this paper, we consider MIMO systems using high-dimensional perfect space-time codes. We show that by adding MMSE-GDFE preprocessing, the NLD has a loss of only 1.5 dB with respect to optimal decoding in the case of the Perfect Code 4×4. However, even with MMSE-GDFE preprocessing, the performance of lattice-reduction aided linear receivers is still very poor for high-dimensional lattices.
“朴素点阵解码”(NLD)及其低复杂度近似,如点阵约简辅助线性解码器,代表了MIMO系统中最大似然点阵解码器的替代方案。在最近的研究中,对它们的多样性顺序进行了研究。这些结果表明,NLD只实现了接收分集,MMSE-GDFE左预处理后再进行NLD或其近似处理获得了最大的分集。到目前为止,所有的理论结果都集中在分集顺序上,但这并不是获得良好性能的唯一相关参数,编码增益也需要考虑。此外,到目前为止,还没有对这些技术在中等信噪比的编码系统中的实际性能进行数值分析。本文考虑使用高维完美空时码的MIMO系统。我们表明,通过添加MMSE-GDFE预处理,在完美代码4×4的情况下,NLD相对于最佳解码的损失仅为1.5 dB。然而,即使进行了MMSE-GDFE预处理,对于高维晶格,格降辅助线性接收器的性能仍然很差。
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引用次数: 3
An improper random vector approach for ESPRIT and unitary ESPRIT frequency estimation 一种不合适的ESPRIT随机向量方法和单一ESPRIT频率估计
Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931478
G. Bouleux, Thameur Kidar, F. Guillet
The problem of estimating the frequencies of a complex signal corrupted by noise is addressed in this paper. Solving the problem by a subspace approach induce an inevitable maximum overlap between windowed observation vectors. It appears therefore that traditional second order statistics do not describe totally the second order behavior and the notion of improper random vector is recommended. Based on this, we analyze an ESPRIT and a Unitary ESPRIT-based methods established with improper random vectors assumption. Numerical simulations and a real application are brought for embellishing the discussion.
本文研究了受噪声干扰的复杂信号的频率估计问题。用子空间方法求解问题会导致窗口观测向量之间不可避免的最大重叠。因此,传统的二阶统计量不能完全描述二阶行为,建议使用不适当随机向量的概念。在此基础上,我们分析了一种基于ESPRIT的方法,以及在不适当的随机向量假设下建立的基于统一ESPRIT的方法。最后给出了数值模拟和实际应用。
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引用次数: 1
An efficient fast integer DCT transform for images compression with 16 additions only 一个有效的快速整数DCT变换图像压缩与16加法只有
Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931415
Nabila Brahimi, S. Bouguezel
A new fast matrix is introduced for the discrete cosine transform (DCT), an important transform that is of particular interest in image compression. For an 8-point DCT only 16 additions are required by appropriately introducing some zeros in the 8×8 Signed DCT (SDCT) matrix taking into account the orthogonality conditions. The second originality of this work is the development of a suitable quantization matrix suitable for our proposed transform matrix. This quantization matrix improves the peak signal to noise ratio (PSNR) by about 0.7 dB compared to the JPEG quantization matrix.
引入了一种新的快速矩阵用于离散余弦变换(DCT),这是图像压缩中特别感兴趣的重要变换。对于8点DCT,考虑到正交性条件,通过在8×8有符号DCT (SDCT)矩阵中适当地引入一些零,只需要16个加法。这项工作的第二个独创性是开发了一个适合于我们提出的变换矩阵的合适的量化矩阵。与JPEG量化矩阵相比,该量化矩阵将峰值信噪比(PSNR)提高了约0.7 dB。
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引用次数: 14
期刊
International Workshop on Systems, Signal Processing and their Applications, WOSSPA
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