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2019 42nd International Conference on Telecommunications and Signal Processing (TSP)最新文献

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High-speed Data Acquisition and Signal Processing Using Cost Effective ARM + FPGA Processors 采用高性价比的ARM + FPGA处理器的高速数据采集和信号处理
Petr Dejdar, P. Munster, T. Horváth
The paper describes the possibilities of data acquisition and data processing from optical sensing systems. There are some data acquisition cards and their disadvantages when used for more complex single fiber sensor systems in the paper. It is suitable to use some open source hardware because commercially available data acquisition cards are more complex and universal which means they have several different inputs/outputs and large dimensions. STEMLab 125-14 (Red Pitaya) appears to be the most suitable solution because offers 2 analog inputs and 2 analog outputs. Compare to standard data processing systems, this is supposed to be an advantage in preprocessing data using programmable logic. This can reduce the volume of transmitted data and can also speed up processing. Thus, the measurement system will be smaller and cheaper. The device contains DA converters, therefore pulses might be generated using the same clock which enables synchronization of backscatter signal.
本文描述了光学传感系统数据采集和数据处理的可能性。本文介绍了一些数据采集卡及其在复杂的单光纤传感器系统中的缺点。它适合使用一些开源硬件,因为商业上可用的数据采集卡更复杂和通用,这意味着它们有几个不同的输入/输出和大尺寸。STEMLab 125-14(红火龙果)似乎是最合适的解决方案,因为提供2个模拟输入和2个模拟输出。与标准数据处理系统相比,这被认为是使用可编程逻辑预处理数据的优势。这可以减少传输的数据量,也可以加快处理速度。因此,测量系统将更小,更便宜。该设备包含数模转换器,因此脉冲可以使用相同的时钟产生,从而实现反向散射信号的同步。
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引用次数: 4
Blind Signal-to-Noise Ratio Estimation of Real Sinusoid in Additive Noise 加性噪声下真实正弦波的盲信噪比估计
G. Romano
We consider the problem of estimation of signal-to-noise ratio (SNR) with a real deterministic sinusoid with unknown frequency, phase and amplitude in additive Gaussian noise of unknown variance. The method of moments, a general method to derive estimators based on high-order moments, is used to derive a blind SNR estimator that does not require the knowledge of the instantaneous frequency of the sinusoid, through separate estimation of signal and noise power. Cramer-Rao lower bounds (CRLBs) are also derived for estimators of signal and noise power and then, for SNR estimators. We show through numerical simulations the statistical performances of the estimators, that we compare to the corresponding CRLBs, and discuss their use in practical applications.
研究了方差未知的加性高斯噪声中频率、相位和幅值未知的实确定性正弦波的信噪比估计问题。矩量法是一种基于高阶矩量推导估计量的通用方法,通过分别估计信号和噪声功率,推导出不需要知道正弦波瞬时频率的盲信噪比估计量。本文还推导了信号和噪声功率估计器的Cramer-Rao下界,然后推导了信噪比估计器的crlb下界。我们通过数值模拟展示了估计器的统计性能,并与相应的crlb进行了比较,并讨论了它们在实际应用中的应用。
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引用次数: 6
A Novel CSK Modulated OFDM System for Visible Light Communication 一种新的CSK调制OFDM可见光通信系统
Furkan Durukan, Birhan Mert Güney, A. Özen
In this paper, color shift keying (CSK) modulation, which is selected as one of the modulation methods in visible light communication systems, is integrated with orthogonal frequency division multiplexing (OFDM) to increase the spectrum yield. However, the conventional fast Fourier transform (FFT) based OFDM needs that the CSK symbols be Hermitian symmetric, resulting in wasted bandwidth. In this study, it is proposed a real Fourier field based CSK OFDM technique using discrete Cosine transform (DCT), which can transform the real-value signal into a real-value signal and eliminate the need for Hermitian symmetry. Thus, the use of spectra has been doubled due to the removal of Hermitian symmetry in classical FFT-based OFDM systems. In order to test the achievement of the recommended CSK-modulated DCT-based OFDM (DCT-OFDM) and compare with the classical FFT-based OFDM and discrete sine transform (DST) based OFDM systems computer simulation studies are carried out in additive white Gaussian noise (AWGN) channel environment and a single path channel in indoor environment, where the transmitter and the receiver see each other (Line of sight, LOS). From the computer simulation outcomes, it is observed that approximately 17 dB of SNR gain is obtained with the proposed method for the 1E–3 BER value.
本文将色移键控(CSK)调制作为可见光通信系统的调制方式之一,与正交频分复用(OFDM)技术相结合,以提高频谱产率。然而,传统的基于快速傅里叶变换(FFT)的OFDM要求CSK符号是厄米对称的,导致带宽浪费。本文提出了一种利用离散余弦变换(DCT)的基于实傅里叶场的CSK OFDM技术,该技术可以将实值信号转换为实值信号,并且消除了对厄米对称的需要。因此,由于在经典的基于fft的OFDM系统中去除厄米对称,光谱的使用翻了一番。为了测试推荐的基于csk调制的基于dct的OFDM (DCT-OFDM)的实现情况,并与经典的基于ffdm的OFDM和基于离散正弦变换(DST)的OFDM系统进行比较,在加性高斯白噪声(AWGN)信道环境和室内环境的单路径信道中进行了计算机仿真研究,其中发射器和接收器相互看到(视线,LOS)。计算机仿真结果表明,采用该方法可获得约17 dB的信噪比增益。
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引用次数: 3
Markov Based Computational Model for Performance Evaluation of Congestion Control Variants 基于马尔可夫的拥塞控制变量性能评估计算模型
Dumisani Ngwenya, B. T. Maharaj, A. Alfa
Analytic modelling of TCP congestion control has been a subject of intense research in the past two decades for both wireline and wireless high-speed Broadband networks. There has not been a single simple analytical approach that covers a wide range of TCP congestion control variants, making it hard to compare them against each other.. The contribution of this paper is generalization of a Markov model, previously used for TCP Cubic, so that it can also be used for TCP NewReno and a wide range of random loss rates. We also argue that the model can be easily extended to other mechanisms, even model-based mechanisms and those that are hard to define mathematically. We show that the results of the model tally with literature results. The model captures correctly the behaviour of TCP NewReno and TCP Cubic in environments with high random loss rates. We further confirm the results with NS3 simulation.
在过去的二十年里,TCP拥塞控制的分析模型一直是有线和无线高速宽带网络研究的热点。目前还没有一种简单的分析方法能够涵盖广泛的TCP拥塞控制变体,因此很难对它们进行相互比较。本文的贡献是推广了先前用于TCP Cubic的Markov模型,因此它也可以用于TCP NewReno和大范围的随机损失率。我们还认为,该模型可以很容易地扩展到其他机制,甚至是基于模型的机制和那些难以用数学定义的机制。我们证明了模型的结果与文献结果相符。该模型正确地捕获了TCP NewReno和TCP Cubic在高随机损失率环境中的行为。我们用NS3模拟进一步验证了结果。
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引用次数: 0
Common Carotid Artery Wall Localization in B-mode Ultrasound Images for Initialization of Artery Wall Tracking Methods b超图像中颈总动脉壁定位用于初始化动脉壁跟踪方法
Jan Dorazil, K. Říha, M. Dutta
Analysis of the movement of the common carotid artery (CCA) wall in ultrasound sequences can be used for diagnosis of many cardiovascular diseases. In this paper we introduce a method for localization of the CCA wall contour (approximated by a circle) inside an ultrasound image, which can be used in real-time applications for initialization of an artery wall tracking method. First we detect a rectangular region of interest (ROI) using a recently proposed method based on the Viola-Jones detector. Next we perform an exhaustive search over all possible circles inside the ROI. Circle which maximizes a particular criterion represents the final estimate. Experimental results on a dataset of 145 ultrasound images show that the method outperforms a reference method based on the Hough transform in terms of precision and misdetection rates.
超声序列对颈总动脉(CCA)壁运动的分析可用于许多心血管疾病的诊断。在本文中,我们介绍了一种定位超声图像内CCA管壁轮廓(用圆近似)的方法,该方法可用于初始化动脉管壁跟踪方法的实时应用。首先,我们使用最近提出的基于Viola-Jones检测器的方法检测感兴趣的矩形区域(ROI)。接下来,我们对ROI内所有可能的圆执行穷举搜索。使特定标准最大化的圆表示最终估计。145张超声图像数据集的实验结果表明,该方法在精度和误检率方面都优于基于霍夫变换的参考方法。
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引用次数: 6
Deep Neural Networks vs Bag of Features for Hand Gesture Recognition 深度神经网络与手势识别的特征包
R. Mîrsu, G. Simion, C. Căleanu, Oana Ursulescu, Ioana-Monica Pop-Calimanu
Deep Neural Networks and their associated learning paradigm, Deep Learning, represent one of the hottest approaches used in image understanding and recognition. As their performances depends quasi-linearly on the amount of available data, the typical case studies in the literature assume the availability of huge datasets. This paper proposes to analyze several deep neural networks (trained from the scratch or pre-trained), test their efficiency in the problem of hand gesture recognition, and compare the results to a state-of-the-art classical method, the bag of features, for the case of small databases.
深度神经网络及其相关的学习范式,深度学习,代表了图像理解和识别中最热门的方法之一。由于它们的性能与可用数据量呈拟线性关系,因此文献中的典型案例研究假设了大量数据集的可用性。本文提出分析几种深度神经网络(从零开始训练或预训练),测试它们在手势识别问题上的效率,并将结果与最先进的经典方法-特征包方法进行比较,用于小型数据库的情况。
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引用次数: 3
Flicker Free VLC System with Automatic Code Resynchronization using Low Frame Rate Camera 使用低帧率相机的自动代码重同步的无闪烁VLC系统
Alina Elena Marcu, R. Dobre, O. Datcu, G. Suciu, Je-Hui Oh
In the recent years, the conventional lighting systems are beginning to be replaced by LED lighting systems. In a Visible Light Communication (VLC) system, the visible light is used to provide a link between a transmitter, who is typically a LED, and a receiver, which is either a photodetector or an image sensor. The VLC can be used, besides illumination, for transferring data by changing very fast the light intensity of the LED and not to be perceived by the human eye as flicker. In recent applications, high frame rate cameras have begun to be used, but their disadvantage is the high cost. This paper proposes and experimentally validates a VLC solution that uses low frame rate camera and does not require a transmitter-receiver synchronization.
近年来,传统照明系统开始被LED照明系统所取代。在可见光通信(VLC)系统中,可见光用于在发射器(通常是LED)和接收器(光电探测器或图像传感器)之间提供连接。除了照明之外,VLC还可以通过快速改变LED的光强来传输数据,而不会被人眼视为闪烁。在最近的应用中,高帧率摄像机已经开始使用,但其缺点是成本高。本文提出并实验验证了一种使用低帧率摄像机且不需要收发同步的VLC解决方案。
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引用次数: 6
TSP 2019 Reviewers TSP 2019审稿人
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引用次数: 0
A Perspective on Wireless M-Bus for Smart Electricity Grids 面向智能电网的无线M-Bus展望
Pavel Mašek, Martin Stusek, Krystof Zeman, Radek Mozny, A. Ometov, Jiri Hosek
The Internet of Things (IoT) enables long-range outdoor networks, such as smart grid and municipal lighting, as well as short-range indoor systems for smart homes, residential security, and energy management. Wireless connectivity and standardized communication protocols become an essential technology baseline for these diverse IoT applications. The focus of this work is wireless connectivity for smart metering systems. One of the recent protocols in this field is Wireless M-BUS, which is being widely utilized for remote metering applications across Europe. Therefore, in this paper, we detail a novel multi-platform framework designed to serve as a data generator for the protocol in question. The developed software allows to construct Wireless M-Bus telegrams with a high level of detail according to the EN 13757-4 specification and then schedule them for periodic transmission. The evaluation of the data generator is done in real scenario by using previously developed prototype equipped with IQRF TR72DA communication module acting as a smart meter with implemented software framework. As a result, the evaluation of communication distance between the developed Wireless MBus prototype and commercial gateway was tested in case of indoor scenario at Brno University of Technology, Faculty of Electrical Engineering and Communication.
物联网(IoT)支持远程户外网络,如智能电网和市政照明,以及用于智能家居、住宅安全和能源管理的短距离室内系统。无线连接和标准化通信协议成为这些不同物联网应用的基本技术基线。这项工作的重点是智能计量系统的无线连接。该领域的最新协议之一是无线M-BUS,它被广泛用于整个欧洲的远程计量应用。因此,在本文中,我们详细介绍了一个新的多平台框架,该框架被设计为所讨论的协议的数据生成器。开发的软件允许根据EN 13757-4规范构建具有高水平细节的无线M-Bus电报,然后安排它们定期传输。数据发生器的评估是在实际场景中完成的,使用先前开发的原型,配备IQRF TR72DA通信模块作为智能电表,并实现软件框架。因此,在布尔诺理工大学电气工程与通信学院,对所开发的无线MBus原型与商用网关在室内场景下的通信距离进行了评估。
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引用次数: 2
Face Recognition Using Eigenfaces, Geometrical PCA Approximation and Neural Networks 基于特征脸、几何PCA逼近和神经网络的人脸识别
Alina L. Machidon, O. Machidon, P. Ogrutan
The human face exhibits a high level of complexity when it is regarded as a multidimensional visual model, leading to face recognition systems that require difficult and extensive computations for coding and decoding the face images. A well-established approach in this regard is based on using principle component analysis (PCA) for both feature extraction and face recognition, known as the eigenface approach. This technique, despite a good recognition rate, suffers from the disadvantage of high computation cost due to the complexity of the PCA algorithm. In this paper, we use a geometrical approximated PCA (gaPCA) algorithm for computing the eigenfaces for three different datasets. The face recognition task is performed using a similarity score based on the inverse Euclidean distance for the first two datasets and using a nerual network in the third case. All the results are compared to the case where standard PCA is used. These accuracy results show that gaPCA represents a viable alternative to the classical statistical approach for computing the principal components.
当人脸被视为一个多维视觉模型时,它表现出高度的复杂性,导致人脸识别系统需要困难和大量的计算来编码和解码人脸图像。在这方面,一种行之有效的方法是基于使用主成分分析(PCA)进行特征提取和人脸识别,称为特征脸方法。该方法虽然具有较好的识别率,但由于PCA算法的复杂性,存在计算量大的缺点。在本文中,我们使用几何近似PCA (gaPCA)算法来计算三种不同数据集的特征面。人脸识别任务对前两个数据集使用基于反欧几里得距离的相似性评分,对第三个数据集使用神经网络。将所有结果与使用标准PCA的情况进行比较。这些精度结果表明,gaPCA是计算主成分的一种可行的替代方法。
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引用次数: 20
期刊
2019 42nd International Conference on Telecommunications and Signal Processing (TSP)
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