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Average Power Function of Noise and Its Applications in Seasonal Time Series Modeling and Forecasting
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作者 Qiang Song 《American Journal of Operations Research》 2011年第4期293-304,共12页
This paper presents a new method of detecting multi-periodicities in a seasonal time series. Conventional methods such as the average power spectrum or the autocorrelation function plot have been used in detecting mul... This paper presents a new method of detecting multi-periodicities in a seasonal time series. Conventional methods such as the average power spectrum or the autocorrelation function plot have been used in detecting multiple periodicities. However, there are numerous cases where those methods either fail, or lead to incorrectly detected periods. This, in turn in applications, produces improper models and results in larger forecasting errors. There is a strong need for a new approach to detecting multi-periodicities. This paper tends to fill this gap by proposing a new method which relies on a mathematical instrument, called the Average Power Function of Noise (APFN) of a time series. APFN has a prominent property that it has a strict local minimum at each period of the time series. This characteristic helps one in detecting periods in time series. Unlike the power spectrum method where it is assumed that the time series is composed of sinusoidal functions of different frequencies, in APFN it is assumed that the time series is periodic, the unique and a much weaker assumption. Therefore, this new instrument is expected to be more powerful in multi-periodicity detection than both the autocorrelation function plot and the average power spectrum. Properties of APFN and applications of the new method in periodicity detection and in forecasting are presented. 展开更多
关键词 SEASONAL Time Series Forecasting SEASONALITY Detection AVERAGE POWER function of noise AVERAGE POWER spectrum AUTOCORRELATION functions
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Analysis of external noise spectrum of high-speed railway 被引量:8
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作者 邓永权 肖新标 +1 位作者 何宾 金学松 《Journal of Central South University》 SCIE EI CAS 2014年第12期4753-4761,共9页
A schematic to make the spectra of the exterior noise of high speed railway was put forward. The exterior noise spectrum was defined based on the characteristics of the high-speed train exterior noise. Its characteris... A schematic to make the spectra of the exterior noise of high speed railway was put forward. The exterior noise spectrum was defined based on the characteristics of the high-speed train exterior noise. Its characteristics considered here include identifying the exterior main sources and their locations, their frequency components including the Doppler effect due to the noise sources moving at high speed, the sound field intensity around the train in high-speed operation, the sound radiation path out of the train, and the pressure level and frequency components of the noise at the measuring points specified by the International Organization for Standardization(ISO). The characteristics of the high-speed train exterior noise of the high speed railways in operation were introduced. The advanced measuring systems and their principles for clearly indentifying the exterior noise sources were discussed in detail. Based on the concerned noise results measured at sites, a prediction model was developed to calculate the sound level and the characteristics of the exterior noise at any point where it is difficult to measure and to help to make the exterior noise spectrums. This model was also verified with the test results. The verification shows that there is a good agreement between the theoretical and experimental results. 展开更多
关键词 外部噪声 高速铁路 频谱分析 国际标准化组织 高速列车 频率分量 预测模型 多普勒效应
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Prediction of Outdoor Noise Propagation Induced By Single-Phase Power Transformers 被引量:2
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作者 Xueyun Ruan Wei Huang +1 位作者 Linke Zhang Yan Gao 《Sound & Vibration》 2019年第1期2-13,共12页
Outdoor power transformers are one of the most pervasive noise sources in power transmission and distribution systems.Accurate prediction of outdoor noise propagation plays a dominant role for the evaluation and contr... Outdoor power transformers are one of the most pervasive noise sources in power transmission and distribution systems.Accurate prediction of outdoor noise propagation plays a dominant role for the evaluation and control of noise relevant to the transformer stations.In this paper surface vibration tests are carried out on a scale model of a single-phase transformer tank wall at different excitation frequencies.The phase and amplitude of test data are found to be randomly distributed when the excitation frequency exceeds the seventh mode frequency,which allows the single-phase power transformer to be simplified as incoherent point sources.An outdoor-coherent model is subsequently developed and incorporated with the image source method to investigate noise propagation from single-phase power transformers,due to the occurrence of multiple reflections and diffractions in the propagation path of each point source.The proposed model is used to calculate the sound field of the power transformer group by exploiting the additional phase information.In comparison with the ISO9613 model and the boundary element method,it is found that the proposed coherent image source method leads to more accurate prediction results,and hence better performance for the prediction of the outdoor noise induced by single-phase power transformers. 展开更多
关键词 Single-phase transformer surface vibration scale model noise prediction coherent image source method
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The Spectrum of the Square of a Synchronous Random Pulse Train in Impulse Noise Environments
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作者 Yan Jingwen Qi Lei and Yue Zhengui(Department of Radio Communication, Changchun Posts and Telecommunications institute, Changchun 130012, R. P. China) 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 1996年第2期78-80,共3页
New forms are derived relatively simply for the spectrum of the square of synchronous randompulse train of the form , that was contaminated by impulse noise, and whose coefficient Ci areindependent, zero-mean, unit-va... New forms are derived relatively simply for the spectrum of the square of synchronous randompulse train of the form , that was contaminated by impulse noise, and whose coefficient Ci areindependent, zero-mean, unit-variance random and g(t) is a given deterlninistic pulse shape. This pulsetrain's power spectrum is derived. Its discrete part can be used to synchronize carrier, and its continuouspart limits the sighal to noise ratio available in any given bandwidth irc in the spectral lines. 展开更多
关键词 s: power spectrum impulse noise gaussian process correlation function fourier transform
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Scaling model for a speed-dependent vehicle noise spectrum 被引量:1
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作者 Giovanni Zambon H. Eduardo Roman Roberto Benocci 《Journal of Traffic and Transportation Engineering(English Edition)》 2017年第3期230-239,共10页
Considering the well-known features of the noise emitted by moving sources, a number of vehicle characteristics such as speed, unladen mass, engine size, year of registration, power and fuel were recorded in a dedicat... Considering the well-known features of the noise emitted by moving sources, a number of vehicle characteristics such as speed, unladen mass, engine size, year of registration, power and fuel were recorded in a dedicated monitoring campaign performed in three different places, each characterized by different number of lanes and the presence of nearby reflective surfaces. A full database of 144 vehicles (cars) was used to identify sta- tistically relevant features. In order to compare the vehicle transit noise in different environmental condition, all 1/3-octave band spectra were normalized and analysed. Un- supervised clustering algorithms were employed to group together spectrum levels with similar profiles. Our results corroborate the well-known fact that speed is the most rele- vant characteristic to discriminate between different vehicle noise spectrum. In keeping with this fact, we present a new approach to predict analytically noise spectra for a given vehicle speed. A set of speed-dependent analytical functions are suggested in order to fit the normalized average spectrum profile at different speeds. This approach can be useful for predicting vehicle speed based purely on its noise spectrum pattern. The present work is complementary to the accurate analysis of noise sources based on the beamforming technique. 展开更多
关键词 Car noise spectrum Cluster analysis Analytical model of noise spectrum Speed-dependent analytical function
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A study on large coherent structures and noise emission in a turbulent round jet 被引量:1
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作者 WAN ZhenHua ZHOU Lin SUN DeJun 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2014年第8期1552-1562,共11页
A moderate Reynolds number,and high subsonic turbulent round jet is investigated by large eddy simulation.The detailed results(e.g.mean flow properties,turbulence intensities,etc.)are validated against the experimenta... A moderate Reynolds number,and high subsonic turbulent round jet is investigated by large eddy simulation.The detailed results(e.g.mean flow properties,turbulence intensities,etc.)are validated against the experimental data,and special attention is paid to study motions of coherent structures and their contributions to far-field noise.Eulerian methods(e.g.Q-criteria andλ2criteria)are utilized for visualizing coherent structures directly for instantaneous flow fields,and Lagrangian coherent structures accounting for integral effect are shown via calculating fields of finite time Lyapunov exponents based on bidimensional velocity fields.All visualizations demonstrate that intrusion of three-dimensional vortical structures into jet core occurs intermittently at the end of the potential core,resulting from the breakdown of helical vortex rings in the shear layer.Intermittencies in the shear layer and on the centerline are studied quantitatively,and distinctively different distributions of probability density function are observed.Moreover,the physical sound sources are obtained through a filtering operation of defined sources in Lighthill’s analogy,and their distributions verify that intrusion of vortical structures into the core region serves as important sound sources,in particular for noise at aft angles.The facts that intermittent behaviors are caused by motions of coherent structures and correlated with noise generation imply that to establish reasonable sound sources in active noise production region based on intermittent coherent structures is one of the key issues for far-field noise prediction. 展开更多
关键词 主动噪声 大涡结构 LYAPUNOV指数 圆射流 可视化显示 排放 相干结构 概率密度函数
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无轴泵喷叶片流激共振产生机理及其抑制
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作者 魏应三 程功 +2 位作者 王东 靳栓宝 武星宇 《哈尔滨工程大学学报》 EI CAS CSCD 北大核心 2024年第2期375-382,共8页
针对无轴泵喷异常高频梳状线谱噪声,本文研究了梳状线谱的产生原因及其噪声抑制特点。基于推进器实测噪声谱、振动谱梳状特征,初步定位梳状线谱与泵喷叶轮密切相关;进一步采用单向流固耦合分析方法,验证了无轴泵喷高频线谱来源于流激引... 针对无轴泵喷异常高频梳状线谱噪声,本文研究了梳状线谱的产生原因及其噪声抑制特点。基于推进器实测噪声谱、振动谱梳状特征,初步定位梳状线谱与泵喷叶轮密切相关;进一步采用单向流固耦合分析方法,验证了无轴泵喷高频线谱来源于流激引起的叶轮面内2弯模态共振,并提出了一种在叶轮过流通道增设环筋以提高叶片支撑刚度的方案。流固耦合仿真及实测结果表明:带有环筋加强的泵喷叶轮对流激振动与噪声有明显抑制作用,梳状线谱噪声降幅达25.2~30.2 dB,且未向其他频段转移。 展开更多
关键词 无轴泵喷 梳状线谱 噪声抑制 流激 流固耦合 高频共振 旋转声源 窄带噪声
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地震背景噪声功率谱密度及概率密度函数的计算及其Matlab实现
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作者 刘庆华 鲁来玉 +3 位作者 常利军 李宗超 侯博文 谢佳兴 《华北地震科学》 2024年第3期102-107,共6页
介绍了地震背景噪声功率谱密度及概率密度函数计算方法及涉及的一些概念,以台站实际数据为例,给出了应用Matlab计算噪声功率谱密度及其概率密度函数的程序算法,该方法直接输入文本格式数据,计算台基噪声功率谱概率密度函数;以洛阳地震... 介绍了地震背景噪声功率谱密度及概率密度函数计算方法及涉及的一些概念,以台站实际数据为例,给出了应用Matlab计算噪声功率谱密度及其概率密度函数的程序算法,该方法直接输入文本格式数据,计算台基噪声功率谱概率密度函数;以洛阳地震台24小时的连续波形记录为例,详细叙述了原始数据去仪器响应、计算功率谱密度、倍频程计算和噪声功率谱密度的概率密度函数计算实现的全过程。该方法编程简单,适用于单台噪声水平评估,在野外台站的快速勘选中具有潜在应用价值。 展开更多
关键词 地震背景噪声 噪声功率谱 噪声概率密度函数 倍频程 仪器响应
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基于波束形成的变压器噪声成像技术研究与应用
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作者 袁晶 卢灏 +1 位作者 刘领航 王永强 《电气工程学报》 CSCD 北大核心 2024年第1期290-298,共9页
作为变电站中最为昂贵和重要的设备,变压器一直是科研人员的研究重点对象。目前对变压器噪声源识别的相关研究较少,因此结合波束形成技术针对变压器噪声源识别展开研究。首先根据所调研的变压器噪声特性,确定了所关注的噪声频段和所用... 作为变电站中最为昂贵和重要的设备,变压器一直是科研人员的研究重点对象。目前对变压器噪声源识别的相关研究较少,因此结合波束形成技术针对变压器噪声源识别展开研究。首先根据所调研的变压器噪声特性,确定了所关注的噪声频段和所用的声源识别方法,阐述了宽带信号的波达方向估计与波束形成的相关理论,进而整理出了一种基于频域数据的宽带变压器信号定位思路,利用仿真结果证实了所提定位思路的合理性与准确性。最后基于LabVIEW平台搭建了一套变压器噪声源识别系统,并通过对不同情况下实际运行变压器的现场试验,对系统的定位效果进行了测试,其定位误差在2°左右,结果证明噪声源识别思路和搭建的系统平台具有良好的可靠性与可用性。 展开更多
关键词 变压器 波束形成 空间谱估计 噪声源识别
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基于改进VMD-WTFD算法的二次谐波光谱信号反演分析
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作者 王战 涂兴华 张瑞林 《光通信技术》 北大核心 2024年第1期85-89,共5页
采用变分模态分解和小波阈值调整函数(VMD-WTFD)算法在处理噪声时,信号波形恢复往往偏离标准的谐波信号,导致反演结果出现偏差。提出了一种改进VMD-WTFD算法,该算法采用新型阈值函数对VMD-WTFD算法进行改进,然后以此改进算法对二次谐波... 采用变分模态分解和小波阈值调整函数(VMD-WTFD)算法在处理噪声时,信号波形恢复往往偏离标准的谐波信号,导致反演结果出现偏差。提出了一种改进VMD-WTFD算法,该算法采用新型阈值函数对VMD-WTFD算法进行改进,然后以此改进算法对二次谐波光谱信号进行反演分析。仿真与实验结果表明:与其它几种降噪算法相比,改进VMD-WTFD算法在不同调制度下反演出的原始信号的峰值、峰位和峰谷值更接近原始标准二次谐波光谱信号,去噪后的信噪比为17.545 dB,相关系数可达到0.9929;可以较清晰地反演出人体呼出气体中CO_(2)的二次谐波幅值。 展开更多
关键词 可调谐二极管激光吸收光谱 阈值函数 二次谐波 波形恢复 信噪比
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基于自适应波束形成的水下运动源辐射噪声测量方法
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作者 陈宜斌 侯朋 +2 位作者 梁喆 朱艺佳 杨松 《舰船电子工程》 2024年第4期168-172,共5页
提出了一种约束测量精度的同时提供最大抑制干扰的自适应波束形成方法。采用水听器阵列接收测量信号,约束由声场格林函数得到的阵列合成信号与单个阵元接收信号的误差,根据获取最大阵列增益的准则设计阵列的最佳权系数,并利用二阶锥优... 提出了一种约束测量精度的同时提供最大抑制干扰的自适应波束形成方法。采用水听器阵列接收测量信号,约束由声场格林函数得到的阵列合成信号与单个阵元接收信号的误差,根据获取最大阵列增益的准则设计阵列的最佳权系数,并利用二阶锥优化求解权系数,从而得到约束测量精度下的最大化干扰抑制自适应波束形成器。计算机仿真结果表明,该方法在低信噪比条件下保证较高的噪声测量精度的同时,可以有效提高水下运动声源辐射噪声的处理增益。 展开更多
关键词 自适应波束形成 格林函数 阵列增益 运动源 噪声测量
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Computed Tomography Protocol Optimisation for Pediatric Head Trauma: Radiation Dose and Image Quality Assessment
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作者 Evelyn Anaafi Mary Boadu +2 位作者 Albertina Rusandu Mercy Afadzi Kwame Anokye Amoabeng 《International Journal of Medical Physics, Clinical Engineering and Radiation Oncology》 2022年第3期160-175,共16页
Purpose: Children are sometimes examined with Computed Tomography protocols designed for adults, leading to radiation doses higher than necessary. Lack of optimisation could lead to image quality higher than what is n... Purpose: Children are sometimes examined with Computed Tomography protocols designed for adults, leading to radiation doses higher than necessary. Lack of optimisation could lead to image quality higher than what is needed for diagnostic purposes with associated high doses to patients. Optimising the protocols for paediatric head trauma CT imaging will reduce radiation dose. Objective: The study aimed to optimise radiation dose and assess the image quality for a set of protocols by evaluating noise, a contrast to noise ratio, modulation transfer function and noise power spectrum. Methods: Somaton Sensation 64 was used to scan the head of an anthropomorphic phantom with a set of protocols. ImageJ software was used to analyse the paediatric head image from the scanner. IMPACTSCAN dosimeter software was used to evaluate the radiation dose to the various organs in the head. MATLAB was used to analyse the Modulation Transfer Function and the Noise Power. Results: The estimated Computed Tomography Dose Index volume (CTDI<sub>vol</sub>) increased with increasing tube current and tube voltage. The high pitch of 0.9 gave a lower dose than the 0.5 pitch. The eye lens received the highest radiation dose (39.2 mGy) whiles the thyroid received the least radiation dose (13.7 mGy). There was an increase in noise (62.46) when the H60 kernel was used and a lower noise (8.829) was noticed when the H30 kernel was used. Conclusion: The results obtained show that the H30 kernel (smooth kernel) gave higher values for noise and contrast to noise ratio (CNR) than the H60 kernel (sharp kernel). The H60 kernel produced high values for the modulation transfer function (MTF) and noise power spectrum (NPS). The eye lens received the highest radiation dose. 展开更多
关键词 Image Quality Radiation Dose Modulation Transfer function noise Power spectrum OPTIMIZATION
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Dark Current Compensation and Sensitivity Adjustment on Gallium Arsenide Linear Array Detector for X-Ray Imaging
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作者 Mikhail Polkovnikov 《Journal of Biomedical Science and Engineering》 2016年第11期532-543,共13页
For the last several years, the linear array x-ray detector for x-ray imaging with gallium arsenide direct conversion sensitive elements has been developed and tested at the In-stitute for High Energy Physics. The arr... For the last several years, the linear array x-ray detector for x-ray imaging with gallium arsenide direct conversion sensitive elements has been developed and tested at the In-stitute for High Energy Physics. The array consists of 16 sensitive modules. Each module has 128 gallium arsenide (GaAs) sensitive elements with 200 μm pitch. Current article describes two key program procedures of initial dark current compensation of each sensitive element in the linear array, and sensitivity adjustment for alignment of strip pattern in the raw image data. As a part of evaluation process a modular transfer function (MTF) was measured with the slanted sharp-edge object under RQA5 technique as it described in the International Electrotechnical Commission 62220-1 standard (high voltage 70 kVp, additional aluminium filter 21 mm) for images with compensated dark currents and adjusted sensitivity of detector elements. The 10% level of the calculated MTF function has spatial resolution within 2 - 3 pair of lines per mm for both vertical and horizontal orientation. 展开更多
关键词 Linear Array Gallium Arsenide CALIBRATION Dark Current Sensitivity Modular Transfer function Normalized noise Power spectrum
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小泉沟地震台台基背景噪声特征分析
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作者 段绍鑫 邓明文 +1 位作者 张剑锋 张森 《地震地磁观测与研究》 2024年第1期35-39,共5页
运用Welch算法计算小泉沟地震台功率谱密度PSD,得到垂直向1/3倍频程带宽1—20 Hz各段的平均地动噪声RMS值为2.88×10^(-9)m/s,小于3.16×10^(-8)m/s,符合Ⅰ类台基标准。通过计算概率密度函数PDF,得到小泉沟地震台台背景噪声日... 运用Welch算法计算小泉沟地震台功率谱密度PSD,得到垂直向1/3倍频程带宽1—20 Hz各段的平均地动噪声RMS值为2.88×10^(-9)m/s,小于3.16×10^(-8)m/s,符合Ⅰ类台基标准。通过计算概率密度函数PDF,得到小泉沟地震台台背景噪声日变特征为,12—20时明显增大,夜间明显降低,背景噪声受人为活动影响较大;背景噪声年变特征受气温、气压影响较大,呈现夏低冬高的变化趋势。 展开更多
关键词 小泉沟地震台 背景噪声 功率谱密度 概率密度函数
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TGDI汽油机噪声源时域分离方法研究 被引量:1
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作者 刘海 张昊 +3 位作者 崔国旭 李洪亮 景国玺 何悦波 《内燃机学报》 EI CAS CSCD 北大核心 2023年第2期158-165,共8页
汽油涡轮增压缸内直喷(TGDI)汽油机噪声源时域分离对优化燃烧噪声、机械噪声和提升整机声品质至关重要.根据汽油机辐射噪声与缸内压力、转矩激励源之间的传递特性规律,将汽油机噪声分离并定义为燃烧噪声、转矩相关噪声和残余机械噪声.... 汽油涡轮增压缸内直喷(TGDI)汽油机噪声源时域分离对优化燃烧噪声、机械噪声和提升整机声品质至关重要.根据汽油机辐射噪声与缸内压力、转矩激励源之间的传递特性规律,将汽油机噪声分离并定义为燃烧噪声、转矩相关噪声和残余机械噪声.利用主成分回归分析和卷积理论,提出一种汽油机噪声源时域分离方法,建立TGDI汽油机噪声源时域分离模型,并利用缸内压力、转矩与总噪声之间的相干性,验证模型的正确性.开展TGDI汽油机噪声源的分离研究,获得燃烧噪声、转矩相关噪声和残余机械噪声等时域信号,通过倒拖试验方法验证残余机械噪声实测值与计算值之间的吻合程度,验证了分离结果的准确性;对分离后的3种类型噪声时域信号进行频谱分析,确定了3种噪声源的时、频域分布规律. 展开更多
关键词 汽油机 噪声源 时域分离 频谱分析
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一种冲击噪声下相干分布源多峰DOA估计方法
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作者 高洪元 刘亚鹏 +2 位作者 杜亚男 程建华 孙贺麟 《电子学报》 EI CAS CSCD 北大核心 2023年第9期2330-2340,共11页
针对现有相干分布源波达方向(Direction Of Arrival,DOA)估计方法计算量大、抗冲击噪声能力弱和不能有效去相干等难题,本文提出了一种冲击噪声下相干分布源多峰DOA估计方法,并推导了冲击噪声下相干分布源DOA估计的克拉美罗界.为了实现... 针对现有相干分布源波达方向(Direction Of Arrival,DOA)估计方法计算量大、抗冲击噪声能力弱和不能有效去相干等难题,本文提出了一种冲击噪声下相干分布源多峰DOA估计方法,并推导了冲击噪声下相干分布源DOA估计的克拉美罗界.为了实现冲击噪声下相干分布源DOA估计,采用加权范数协方差抑制冲击噪声,进而首次推导出多峰加权信号子空间拟合方程,并设计了一种多峰量子秃鹰算法快速无量化误差求解.仿真结果表明,所提方法在冲击噪声下能够以较小的快拍数实现相干分布源DOA估计,且无需额外的解相干操作即可有效去相干.与一些已有的高精度DOA估计方法相比,所提方法仿真时间明显缩短,且具有更高的估计精度和估计成功概率,突破了已有相干分布源DOA估计方法的应用局限,可推广应用于其他复杂的DOA估计问题中. 展开更多
关键词 相干分布源 DOA估计 冲击噪声 多峰加权信号子空间拟合 多峰量子秃鹰算法 克拉美罗界
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基于RVMD-RobustICA-ST联合相干性分析的电驱动总成噪声源识别
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作者 张威 景国玺 +2 位作者 杨征睿 高辉 王东 《汽车技术》 CSCD 北大核心 2023年第5期15-24,共10页
为研究集成一体化电驱动总成的噪声源特性,提出一种RVMD-RobustICA-ST联合算法融合相干性分析的噪声源识别方法。首先,采用基于奇异值分解的占优特征值准则估计噪声子空间维数对变分模态分解参数进行指向性条件约束,并利用鲁棒性独立分... 为研究集成一体化电驱动总成的噪声源特性,提出一种RVMD-RobustICA-ST联合算法融合相干性分析的噪声源识别方法。首先,采用基于奇异值分解的占优特征值准则估计噪声子空间维数对变分模态分解参数进行指向性条件约束,并利用鲁棒性独立分量分析联合占优特征值约束的变分模态分解对信号特征进行提取。然后,利用S变换和快速傅里叶变换对各分量信号时频特性进行识别。最后,在二次残差法分析分量信号波形误差度基础上,以电驱动总成振动信号、噪声信号、时频重叠分量信号为变量建立线性系统并进行相干性分析。结果表明,稳态工况下减速二级齿副啮合振动噪声对该电驱动总成噪声贡献度最大,且时频重叠分量信号的噪声能量主要由减速一级齿副啮合振动提供。 展开更多
关键词 集成一体化电驱动总成 噪声源识别 奇异值分解 变分模态分解 鲁棒性独立分量分析 S变换 相干性分析
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单船拖曳可控源电磁数据自适应分频匹配滤波消噪方法 被引量:1
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作者 崔扬 刘洋 +2 位作者 殷长春 王典 惠哲剑 《地球物理学报》 SCIE EI CAS CSCD 北大核心 2023年第4期1732-1742,共11页
海洋可控源电磁法(MCSEM,Marine Controlled-Source Electromagnetic Method)是一种工业化的主动源海洋电磁勘探方法,近年来在海底油气资源探测中收效显著,通过测量海底地下介质的电阻率变化,能够有效降低地震勘探方法的多解性.MCSEM的... 海洋可控源电磁法(MCSEM,Marine Controlled-Source Electromagnetic Method)是一种工业化的主动源海洋电磁勘探方法,近年来在海底油气资源探测中收效显著,通过测量海底地下介质的电阻率变化,能够有效降低地震勘探方法的多解性.MCSEM的工作方式主要有单船拖曳与双船拖曳两类.单船拖曳信号具有强时变特征,近、中、远收发距信号强度变化极大.由于海水环境较为复杂,数据受到洋流、背景场、仪器等多种因素干扰,使得小收发距数据信噪比较高,中、远收发距数据信噪比较低,因此MCSEM数据随机干扰压制方法的研究难点在于适应数据的强时变特征.本文利用发射机数据与接收机数据的时间(空间)和频率对应关系,提出基于正则化条件和衰减函数约束的自适应分频匹配滤波方法.该方法首先通过计算原始接收机数据基频的振幅随偏移距变化(MVO,Magnitude Versus Offset)曲线获取衰减函数,然后利用该衰减函数将发射机所有频点数据进行振幅衰减,减低MCSEM发射机与接收机数据对应振幅的强时变差异,最后利用基于整形正则化条件的自适应匹配滤波方法压制接收机数据中的强振幅随机噪声.模型数据与实际数据的处理结果表明,本文提出的方法能够有效压制MCSEM数据中不同收发距的随机噪声干扰,保护具有强时变特征的接收机数据,提升整体数据质量. 展开更多
关键词 海洋可控源电磁方法 单船拖曳 随机噪声压制 衰减函数 自适应分频匹配滤波
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基于球面阵的低频噪声源定位识别方法
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作者 杨博全 郭强 时胜国 《哈尔滨工程大学学报》 EI CAS CSCD 北大核心 2023年第3期361-369,465,共10页
针对小尺度空心球阵列在低频范围内空间分辨率差及其“零点”位置对应频率定位不稳定问题,本文提出了基于虚拟球面阵的噪声源定位识别方法。在声场重建理论逆问题的基础上研究了虚拟球面阵扩展方法,得到比原有球阵更大孔径的虚拟球阵列... 针对小尺度空心球阵列在低频范围内空间分辨率差及其“零点”位置对应频率定位不稳定问题,本文提出了基于虚拟球面阵的噪声源定位识别方法。在声场重建理论逆问题的基础上研究了虚拟球面阵扩展方法,得到比原有球阵更大孔径的虚拟球阵列;将原始阵列与虚拟阵列组合成双层球面阵,在球谐域中采用“分阶-选择”和“声压-振速”2种联合处理;通过球谐函数展开波束形成算法验证以上虚拟球阵及其与实际球阵联合处理后的噪声源定位识别效果。仿真及试验结果表明:本文方法可有效地获得虚拟大孔径空心球阵列,虚拟阵列及其与实际球阵通过联合处理方式获得的虚拟双层球阵均能够有效提高球阵列的低频空间分辨率,同时也解决了原实际空心球阵列的“零点”问题,提高了噪声源定位识别精度。 展开更多
关键词 低频声源 噪声源定位识别 球面阵 波束形成 虚拟阵列扩展 球谐函数
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基于改进的反向匹配的拉曼光谱识别方法研究
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作者 薛文东 陈本能 +2 位作者 洪德明 杨振海 刘国坤 《光谱学与光谱分析》 SCIE EI CAS CSCD 北大核心 2023年第3期753-759,共7页
针对传统的反向匹配方法中存在的强弱峰权重差异和噪声峰的干扰问题,提出了改进式反向匹配方法,通过引入权重衰减函数来优化强峰和弱峰之间的权重占比关系,使得谱图中各特征峰的权重分布在合理的范围内,避免了强峰权重掩盖弱峰的情况;... 针对传统的反向匹配方法中存在的强弱峰权重差异和噪声峰的干扰问题,提出了改进式反向匹配方法,通过引入权重衰减函数来优化强峰和弱峰之间的权重占比关系,使得谱图中各特征峰的权重分布在合理的范围内,避免了强峰权重掩盖弱峰的情况;通过概率分布函数动态滤噪的方法,实现了噪声峰的自适应过滤,从而提升了反向匹配方法的识别性能。实验以大量的常规拉曼和表面增强拉曼的谱图为验证样本,基于大型常规拉曼与表面增强拉曼数据库进行拉曼谱图识别验证。实验表明该方法在大量数据测试下综合准确率达到91.52%,相比于命中质量指数方法(51.08%)和传统的反向匹配方法(16.57%)有大幅度的提升。 展开更多
关键词 拉曼谱图 反向匹配 光谱识别 权重衰减函数 自适应滤噪
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