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2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)最新文献

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Obtaining higher-order derivatives of low-frequency signals using multirate signal processing 使用多速率信号处理获得低频信号的高阶导数
Li Tan, Jean Jiang, Liangmo Wang
In this paper, a multi-rate signal processing technique is proposed for obtaining higher-order derivatives of digital signals with an improved signal-to-quantization noise ratio (SQNR). The technique consists of a classical oversampling analog-to-digital conversion (ADC) unit with a dithering process and multi-stage down sampling processing followed by a high performance digital differentiator cascaded using a decimator with a factor of two. In the cascaded multi-stage processing, each stage contains a simple half-band low-pass filter followed with decimation by two. The proposed technique uses an extremely small FIR filter size, hence requires much less memory and computational complexity in comparison with single-stage processing. Computer simulations and experimental data processing demonstrate the effectiveness of the proposed method.
本文提出了一种提高信量化噪声比(SQNR)的多速率信号处理技术,用于获取数字信号的高阶导数。该技术包括一个经典的过采样模数转换(ADC)单元,具有抖动处理和多级下采样处理,然后是一个高性能的数字微分器,使用因子为2的小数级联。在级联多阶段处理中,每个阶段包含一个简单的半带低通滤波器,然后进行2的抽取。所提出的技术使用极小的FIR滤波器尺寸,因此与单阶段处理相比,需要更少的内存和计算复杂度。计算机仿真和实验数据处理验证了该方法的有效性。
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引用次数: 2
Experimental results for M-FSK signal classification and parameter estimation M-FSK信号分类与参数估计的实验结果
Hongfei Wang, O. Dobre, Cheng Li, R. Inkol
Blind signal classification and parameter estimation have important applications in both military and commercial communications. This paper proposes a cyclostationarity-based approach for M-FSK signal classification and estimation of the tone frequency spacing. Relying on the number and position of the first-order cycle frequencies (CFs), the proposed approach requires neither recovery of the carrier and symbol timing, nor estimation of the channel, and signal and noise powers. The performance of this algorithm was investigated using both laboratory and simulation experiments.
盲信号分类和参数估计在军用和商用通信中都有重要的应用。本文提出了一种基于循环平稳性的M-FSK信号分类和频距估计方法。该方法依赖于一阶周期频率(cf)的数量和位置,既不需要恢复载波和符号时序,也不需要估计信道、信号和噪声功率。通过实验室实验和仿真实验对该算法的性能进行了研究。
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引用次数: 3
Evaluation of indication performance using contrast sensitivity chart based on novel photometry 基于新型光度法的对比灵敏度图评价指示性能
Hiroki Maru, H. Kanai, Ikhwan Kim, M. Kamijo
The purpose of this study is to quantitatively assess a performance indicator that measures such factors as readability or visibility. We used novel photometric equipment: a charge-coupled device sensor that can measure the distribution of luminance. On various types of paper, we printed a specific striped pattern with predetermined spatial frequency and brightness contrast, and then measured the luminance distribution. We parameterized the luminance distribution and also conducted a subjective assessment to determine the performance. We assessed the visibility quantitatively using multiple regression analysis on the parameters obtained from the photometric sensor. We determined that performance indicators, such as visibility, for printing paper can be assessed by measuring three parameters: spatial frequency, contrast of a striped pattern, and luminance of the background.
本研究的目的是定量评估一个性能指标,衡量诸如可读性或可视性等因素。我们使用了一种新颖的光度测量设备:一种可以测量亮度分布的电荷耦合器件传感器。在不同类型的纸张上,我们以预定的空间频率和亮度对比打印出特定的条纹图案,然后测量亮度分布。我们对亮度分布进行了参数化,并进行了主观评估来确定性能。我们对光度传感器获得的参数进行了多元回归分析,定量地评估了能见度。我们确定,可以通过测量三个参数来评估打印纸的性能指标,如可见性:空间频率、条纹图案的对比度和背景的亮度。
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引用次数: 0
High-resistivity silicon photodiode arrays for x-ray detection 用于x射线探测的高电阻硅光电二极管阵列
Steve Ross, M. Haji-Sheikh, G. Westberg
Presented is a method to build silicon multi-pixel x-ray detectors for use on the Argonne National Laboratory's Advanced Photon Source x-ray synchrotron. These detectors are PIN diodes constructed using heavily doped oxide sources. The construction method chosen helps reduce the background leakage current and allows for a minimum of process steps. We discuss test results of the characterization of the sensors.
介绍了一种用于阿贡国家实验室先进光子源x射线同步加速器的硅多像素x射线探测器的构建方法。这些探测器是使用重掺杂氧化物源构建的PIN二极管。所选择的施工方法有助于减少背景漏电流,并允许最少的工艺步骤。我们讨论了传感器特性的测试结果。
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引用次数: 2
Eliminating user-interaction in probability density estimation 在概率密度估计中消除用户交互
K. Barbé, Lee Gonzales Fuentes, L. Barford, W. Moer
Despite the extensive literature, describing the probability content of measurements remains an important topic for engineering problems. The histogram remains the golden standard, even though kernel density estimation is a strong competitor when smooth estimates are desired. Critical user interaction is required for the use of both the histograms and kernel densities. A good choice for the bandwidth is essential in both cases. On top of that the kernel density method requires a proper choice of the kernel. Incorrect choices may lead to incorrect results generated by either masking important details or introducing false details. In this paper, we propose a new approach which requires no user-defined choices. The method is therefore fully automatic and provides the user a smooth density estimate of the probability content.
尽管有大量的文献,描述测量的概率内容仍然是工程问题的一个重要课题。直方图仍然是黄金标准,即使当需要平滑估计时,核密度估计是一个强有力的竞争对手。直方图和核密度的使用都需要关键的用户交互。在这两种情况下,良好的带宽选择都是必不可少的。最重要的是,核密度方法需要正确选择核。不正确的选择可能会导致不正确的结果,要么掩盖重要的细节,要么引入错误的细节。在本文中,我们提出了一种不需要用户自定义选择的新方法。因此,该方法是全自动的,并为用户提供了概率内容的平滑密度估计。
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引用次数: 3
Novel method for the in situ measurement of the temperature of a satellite's solar panel 卫星太阳能板温度原位测量的新方法
R. JeevanDossC., M. Kumaravel, B. George, V. Kumar
A novel temperature sensor suitable for continuous monitoring of the health of a solar photovoltaic (PV) panel that powers an earth bound satellite is presented in this work. The method proposed here employs one of the photovoltaic cells of the panel itself as the sensor for measuring the solar panel's temperature. In order to make the sensor work even when the panel is not receiving sunlight, that PV cell being used as a temperature sensor is lit with a white light emitting diode. The novel temperature sensor thus realized, replaces the platinum resistance temperature (PRT or SPRT) probes used in a conventional solar panel temperature measurement system. Results obtained from a prototype temperature measurement unit built and tested establish the efficacy of the proposed method. It is clearly established that the proffered method is capable of reliable measurement of a solar panel's temperature in the range -150°C to +150°C.
本文介绍了一种适用于连续监测为地球卫星供电的太阳能光伏(PV)面板健康状况的新型温度传感器。本文提出的方法采用太阳能电池板本身的一个光伏电池作为传感器来测量太阳能电池板的温度。为了使传感器即使在电池板没有接收阳光的情况下也能工作,用作温度传感器的PV电池被白光发光二极管照亮。由此实现的新型温度传感器取代了传统太阳能电池板温度测量系统中使用的铂电阻温度(PRT或SPRT)探头。从一个原型温度测量单元得到的测试结果证实了所提出方法的有效性。可以清楚地确定,所提供的方法能够在-150°C至+150°C范围内可靠地测量太阳能电池板的温度。
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引用次数: 2
Dynamic neuro-fuzzy estimation of the weld penetration in GTAW process GTAW焊深的动态神经模糊估计
Yukang Liu, Weijie Zhang, Yuming Zhang
The weld pool contains abundant information about the welding process and can thus be utilized to accurately monitor the weld penetration. This paper addresses the dynamic estimation of the weld penetration in GTAW process. A machine vision based weld pool sensing system is utilized and the 3D weld pool surface is reconstructed in real-time. Various dynamic experiments under different welding conditions are conducted to acquire data pairs for establishing the correlation between the front-side weld pool characteristic parameters and the weld penetration specified by its back-side bead width. Due to the substantial inertia of the welding process, the weld penetration can be more accurately estimated if the adjacent weld pools are used. Hence, a nonlinear dynamic Adaptive Neuro-Fuzzy Inference System (ANFIS) model is developed to estimate the weld penetration in real-time. It is found that the weld penetration can be estimated with satisfactory accuracy by the proposed online monitoring system.
焊池中含有丰富的焊接过程信息,可用于准确监测焊透情况。本文研究了GTAW焊深的动态估计问题。利用基于机器视觉的熔池传感系统,实时重建三维熔池表面。在不同焊接条件下进行各种动态试验,获取数据对,建立正面焊池特征参数与背面焊头宽度规定的焊深之间的相关性。由于焊接过程的巨大惯性,如果使用相邻的焊池,可以更准确地估计焊缝的渗透。为此,建立了一种非线性动态自适应神经模糊推理系统(ANFIS)模型来实时估计焊缝熔深。结果表明,该在线监测系统能较好地预测焊缝熔深。
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引用次数: 7
Design flow for complex scene visual object tracking and avoidance system 复杂场景视觉目标跟踪与回避系统设计流程
T. Gonnot, J. Saniie
This paper presents the design flow of efficient and real-time object detection and tracking system in a complex environment. The design relies on color extraction, target recognition using neural networks and feature extraction. Furthermore, the system is designed to identify different objects and also to predict their movements. There are many domains where the detection and tracking of objects can be required. An example is a defense system for perimeter protection where the camera is more cost effective in the case of short range detection and recognition. Another application of the proposed system is the detection of the obstacles in front of a visually impaired person using cameras mounted on the frame of their eyeglasses.
本文介绍了复杂环境下高效实时目标检测与跟踪系统的设计流程。该设计依靠颜色提取、神经网络目标识别和特征提取。此外,该系统还可以识别不同的物体,并预测它们的运动。在许多领域中都需要对目标进行检测和跟踪。一个例子是用于周边保护的防御系统,其中摄像机在短距离检测和识别的情况下更具成本效益。该系统的另一个应用是使用安装在视障人士眼镜框架上的摄像头来检测他们面前的障碍物。
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引用次数: 1
Pulse signal analysis based on wavelet packet transform and hidden Markov model estimation 基于小波包变换和隐马尔可夫模型估计的脉冲信号分析
Jing Meng, Yuning Qian, Ruqiang Yan
The pulse signal can reflect the change of mechanisms and pathophysiology in the blood and viscera. An integrated approach, which combines the wavelet packet transform (WPT) with hidden Markov models (HMM), is presented to analyze the pulse signals, which often exhibit non-stationarity, in this study. Specifically, pulse signals measured from healthy and hypertensive subjects were decomposed into a number of frequency sub-bands, and energy features were then extracted from these sub-bands. The key features associated with each sub-band were selected based on the Fisher linear discriminant criterion. The key features were subsequently used as inputs to a HMM classifier for assessing the subjects' health status. Experimental results indicate that the proposed approach can differentiate the hypertensive pulses from healthy pulses effectively.
脉搏信号可以反映血液和脏腑的机制和病理生理变化。本文将小波包变换(WPT)与隐马尔可夫模型(HMM)相结合,提出了一种分析脉冲信号非平稳性的方法。具体而言,将健康受试者和高血压受试者的脉搏信号分解为多个频率子带,然后从这些子带中提取能量特征。基于Fisher线性判别准则选取与各子带相关的关键特征。这些关键特征随后被用作HMM分类器的输入,用于评估受试者的健康状况。实验结果表明,该方法能有效区分高血压脉搏和健康脉搏。
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引用次数: 3
An alternative recovery algorithm based on SL0 for multiband signals 基于SL0的多波段信号替代恢复算法
Xiyuan Peng, Miao Zhang, Jingchao Zhang, Hongpeng Li, Ning Fu, Liyan Qiao, Hongwei Xu
Multiband signal is a typical signal in the realm of modern communication, whose spectrum is the sum of several narrow band signals in frequency domain. Modulated Wideband Converter (MWC) system, which is based on the emerging theory of Compressed Sensing (CS), can sample multiband signals at a sub-Nyquist rate without carrier frequencies as a precondition. In this paper, a novel recovery strategy for MWC is proposed, exploiting Simultaneous Smoothed ℓ0 Norm (SL0), to reconstruct original signal from sub-Nyquist sampling data. This method approximates ℓ0 norm using a continuous function, which can improve the reconstruction accuracy. Simulation results demonstrate that the proposed algorithm is superior to the original Simultaneous Orthogonal Matching Pursuit (SOMP) algorithm.
多波段信号是现代通信领域的一种典型信号,它的频谱是几个窄带信号在频域上的和。基于压缩感知(CS)理论的调制宽带转换器(MWC)系统可以在不以载波频率为前提的情况下以亚奈奎斯特速率对多波段信号进行采样。本文提出了一种新的MWC恢复策略,利用同时光滑的l0范数(SL0)从亚奈奎斯特采样数据中重构原始信号。该方法利用连续函数逼近0范数,提高了重建精度。仿真结果表明,该算法优于原有的同步正交匹配追踪(SOMP)算法。
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引用次数: 1
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2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
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