Double-quantum biased covariance spectroscopy: application to the 2D INADEQUATE experiment

A novel processing scheme is presented that converts a two-dimensional double-quantum NMR spectrum into a single-quantum correlation spectrum. The covariance-like spectrum is computed from the 2D Fourier transform spectrum by emphasizing contributions that fulfill the double-quantum condition resulting in a symmetric spectrum that is easier to analyze. The method is demonstrated for the 2D INADEQUATE experiment.     

傅里叶变换近红外光谱信息资源共享的基础研究

为了实现农产品傅里叶变换近红外光谱库信息资源的共享 ,使光谱库的信息资源达到充分利用 ,首先研究了仪器间光谱信息的准确表达 ,即仪器到仪器光谱信息间的映射 ;并以映射光谱研究了用于不同仪器上进行定量分析的无标样建模方法。对于 2 2个小麦样品蛋白质含量 ,无标样建模模型预测值与凯氏定氮结果的相关系数r =0 94 1,平均相对误差为 3 2 8% ;为了考察无标样建模模型定量分析的使用性 ,同时亦对 2 2个小麦样品的蛋白质含量采用有标样建模定量分析 ,模型预测值与凯氏定氮结果的相关系数r =0 96 3,平均相对误差为 2 4 %。有标样建模与无标样建模的模型分析结果的比较 ,为不同仪器间光谱信息的可共享性提供了依据。由此根据不同仪器建立的光谱信息库的库信息即可转化为另一仪器的映射光谱信息 ,保证了光谱库信息资源在不同仪器上的共享利用     

基于双重傅里叶级数的混沌SPWM频谱量化分析

混沌SPWM控制因其可以有效地降低变换器的电磁干扰而得到越来越多的关注,目前对于电磁干扰效果的分析主要以仿真和实验为主,缺乏一种量化的分析方法.本文利用双重傅里叶级数的方法,首先给出了多周期及准随机SPWM的频谱量化表达式,并且针对多周期SPWM进行了频谱计算与仿真的对比验证,然后本文将此计算方法拓展应用到混沌SPWM中,并分析了混沌频谱计算的可行性.为了验证不同映射及不同载波周期波动范围对频谱的影响,文中选择了常用的Tent和Chebyshev映射分别进行了对比实验,实验结果表明,载波周期波动范围对扩频效果具有较大的影响,而且从长期看,混沌序列的分布概率密度会影响扩频的效果,从短期来看,序列的初始值选取也会对扩频效果有较大影响.本文的频谱分析方法对混沌SPWM抑制电磁干扰原理提供了一定的理论基础,而且可以为其工程实践提供设计参考.     

An adaptive step-size spectrum auction mechanism for two-tier heterogeneous networks

Recently, with the rapid growth of demands for wireless communications, dynamic spectrum allocation is one of the key technologies in cognitive radio networks to resolve the realistic problem of low utilization efficiency of spectrum. It mainly focuses on how the spectrum owner dynamically allocates idle spectrum to secondary users who have no licensed spectrum for communications. In this paper, a dynamic spectrum allocation model based on auction theory in a two-tier heterogeneous network is proposed, in which the primary users (PUs) are the sellers, the central processor (CP) auctioneer is the coordinator, and femtocell base station (FBS) as the buyer bids for the idle spectrum and act as a wireless access point that provides communication services for secondary users (SUs). Its basic process is as follows: the auctioneer gradually raises the spectrum price from the reserved price; each bidder decides whether participates in the purchase or not. It is characterized by distributed execution and low complexity which can reduce unnecessary information exchange between primary users or secondary users. Meanwhile it can enhance the utilization of spectrum and improve the efficiency of the auction by generate the incentive mechanism.     

UV辐射光谱的光电测量研究

为了设计出符合要求的紫外产生材料和更好地对紫外光谱进行测量，提出了以原子材料为基础产生紫外光谱和采用紫外传感器测量紫外光谱的方法。这在对抗紫外制导方面具有十分重要的研究和实用价值。根据相关理论，重点对原子紫外光谱，尤其是碱金属原子核外电子的能量跃迁进行了分析和计算，列出了计算的谱线数据。介绍了目标紫外光谱的测量原理。在选用合适的紫外材料激发后，采用双光栅单色仪和紫外传感器进行测量。最后，给出了紫外传感器对紫外辐射的测量实验结果和测量曲线。     

面向高保真印刷的特征光谱提取与匹配方法研究

快速、准确的进行光谱重建是高保真印刷复制研究的难点。针对多个基色参与复制造成颜色在光谱表征和油墨配比之间转换模型复杂的问题,提出了一种用于高保真印刷的特征光谱提取和匹配方法。该方法利用光谱的导数变换对印刷基色油墨的特征光谱波段进行了筛选和提取,在此基础上提出了特征光谱的多阈值编码算法;针对高保真印刷中的分区判断问题,利用导数平均特征光谱表示各分区特征,并通过目标光谱与各分区的导数平均特征光谱的光谱匹配算法,解决了高保真印刷中的分区判断问题。实验结果表明,提取的特征光谱波段能够显著代表各个基色的光谱特征,基于特征光谱的色彩转换模型精度高于基于全波段的色彩转换模型;光谱匹配算法在判断分区上达到了很高的精度,极大的提高了效率,具有较高的实用性。     

蒙特卡罗模拟元素特征X射线注量的展宽技术

蒙特卡罗模拟技术可以有效提高核辐射探测分析效率、降低分析成本,在促进X荧光分析技术发展过程中也发挥了重要作用。在应用蒙特卡罗模拟能量色散X荧光分析中,为使蒙特卡罗模拟元素特征X射线注量谱与实验能谱之间的物理差异更小,提出了一种模拟注量展宽算法。首先依据离散统计物理理论,建立了Si-PIN半导体探测器对X射线的响应函数模型,并利用加权非线性最小二乘法拟合得到各系数,再对系数进行归一化处理,得到归一化后的响应函数R(E, E′)。然后利用R(E, E′)对模拟注量进行展宽转换,得到脉冲幅度谱(pulse height spectrum, PHS),使模拟谱更趋近于实验谱,这样就可以通过蒙特卡罗模拟得到与实测能谱一致性较高的模拟能谱。研究中最后利用建立的探测器响应函数模型对Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As, Sn元素K系全能峰拟合χ2_r值在1.04～1.18范围内,对铜合金样品中六种元素特征X射线模拟注量转换结果与实验值一致性较好,并实现了对多元素混合样品复杂重迭谱的有效模拟和展宽。     

A spectrum auction algorithm based on joint power control and beamforming in small cell networks

Spectrum auction is considered as a suitable approach to efficiently allocate spectrum among unlicensed users. However, in previous studies of spectrum auction, competition can hardly be reflected in the traditional spectrum allocation and the spectrum efficiency is still not high after the allocation. In this paper, we enhance the factor of competition in the auctions, in which bidders need to pay for the competition and the interference to macro cell users (MUs). We consider a communication system with one macro cell and several small cells, thus a licensed radio spectrum is shared by both MUs and small cell users (SUs). A truthful auction algorithm is proposed for spectrum allocation and the spectrum is divided into multiple channels in different time slots, so that SUs can make their choice for bidding under the guidance of history. In order to raise the communication quality, we propose a power control and beamforming algorithm in the heterogeneous network to enhance the system performance. Simulation results are presented to verify the effectiveness of the proposed algorithm in the small cell network.     

恒星低质量光谱的连续谱拟合方法

恒星的连续谱是由于黑体辐射导致的光辐射强度随波长(频率)连续光滑变化的光谱。每条观测到的光谱数据中都会包含连续谱、谱线和噪声。恒星的分类主要是依据光谱的谱线、连续谱的相对强度以及光谱的其他特征。恒星连续谱的分布以及谱线的轮廓是由恒星大气内的物理因素决定的,也可以根据连续谱及谱线对恒星大气的物理参数进行估计。因而处理光谱的主要问题就是提取连续谱,并且通过归一化进行谱线的提取。恒星连续谱提取的算法主要有多项式逼近、中值滤波、形态滤波以及小波滤波等,但是这些方法对于低质量光谱处理的鲁棒性不是很好,因此有必要研究一种新的算法对低质量光谱的连续谱进行提取。在仔细分析恒星低质量连续谱的基础上,提出一种基于蒙特卡罗方法的低质量恒星连续谱拟合方法。该方法对恒星光谱筛选过程中不在范围内的点利用蒙特卡罗均匀分布进行自动插值,让每一个波长都对应一个流量点,然后对这些流量点进行低阶多项式迭代拟合,从而得到连续谱。为了验证算法对不同信噪比的低质量光谱连续谱提取的鲁棒性,利用不同的信噪比在原始光谱中加入不同的高斯白噪声对低质量光谱进行模拟。结果表明蒙特卡罗算法对不同信噪比的低质量光谱的拟合具有较高的精度与较强的鲁棒性。     

Fast and precise automatic baseline correction of one- and two-dimensional nmr spectra

A universally applicable automatic procedure for the baseline correction of NMR spectra is presented. It relies on baseline recognition in the first derivative of the spectrum which does not contain any baseline distortion. The recognized baseline of the original spectrum is then fitted to a polynomial of fifth degree and may be subtracted from the spectrum. Subsequent application to all rows and columns of 2D spectrum may reveal valuable additional information from small cross peaks. Results are presented for the application to a phase-sensitive ROESY spectrum of Cyclosporin A.     

Spectrum sensing in cognitive radio networks and metacognition for dynamic spectrum sharing between radar and communication system: A review

The massive growth in mobile users and wireless technologies has resulted in increased data traffic and created demand for additional radio spectrum. This growing demand for radio spectrum has resulted in spectrum congestion and mandated the need for coexistence between radar and interfering communication emitters. To address the aforementioned issues, it is critical to review existing policies and evaluate new technologies that can utilize spectrum in an efficient and intelligent manner. Cognitive radio and cognitive radar are two promising technologies that exploit spectrum using dynamic spectrum access techniques. Additionally, introducing the bio-inspired concept ‘metacognition’ in a cognitive process has shown to increase the effectiveness and robustness of the cognitive radio and cognitive radar system. Metacognition is a high-order thinking agent that monitors and regulates the cognition process through a feedback and control process called the perception–action cycle. Extensive research has been done in the field of spectrum sensing in cognitive radio and spectral coexistence between radar and communication systems. This paper provides a detailed classification of spectrum sensing schemes and explains how dynamic spectrum access strategies share the spectrum between radar and communication systems. In addition to this, the fundamentals of cognitive radio, its architecture, spectrum management framework, and metacognition concept in radar are discussed. Furthermore, this paper presents various research issues, challenges, and future research directions associated with spectrum sensing in cognitive radar and dynamic spectrum access strategies in cognitive radar.     

The properties of liquid nitrogen

The light-scattering ‘anisotropy’ spectrum of liquid nitrogen has been measured for the liquid along the liquid-vapour coexistence line from 69·4 K (almost the triple point) to near the critical point at 125 K and for the gas under pressure at 128 K. The spectrum is very broad (HWHH～50 cm^-1) due to rapid molecular reorientation. The molecular anisotropy spectrum is approximately gaussian, corresponding to a correlation time for molecular reorientation of order 2 × 10^-13 s at 80 K which is comparable with that obtained from nuclear magnetic resonance. A gaussian rather than a lorentzian form arises because molecular reorientation is not a ‘slow’ variable.

Above the critical temperature the molecular anisotropy spectrum can be roughly described as a collision-broadened rotational line spectrum.

The spectrum and its time Fourier Transform are analysed in terms of the dynamical correlation of orientation of the molecules.

A component of the spectrum due to induced polarization is separated from the anisotropy contribution by a study of the far wing of the spectrum and is observed on the Stokes side out to about 250 cm^-1. This depends exponentially on frequency shift and is interpreted in terms of molecular collision dynamics. The correlation time for this motion is about a factor three shorter than that for molecular reorientation.

The spectra are markedly asymmetric after all experimental corrections for asymmetry have been made. The asymmetry is shown to correspond to the detailed balance factor. It is pointed out that this factor should be allowed for in the case of induced scattering, in particular.

A theoretical analysis is given of the effect of correlation of molecular orientation on the light-scattering spectrum for centrosymmetric linear molecules. In particular it is shown that the normalized second moment of the spectrum is unaffected by correlation of orientation.     

基于影响空间和数据场的LAMOST低质量光谱分析

针对LAMOST DR5 pipeline分类为Unknown的光谱数据对其进行了特征提取和聚类分析.主要工作如下:(1)基于影响空间及数据场的特征提取.首先基于影响空间从低信噪比光谱中提取出大量小集团;然后计算各小集团内部的场并根据场对光谱排序,依次访问光谱序列及其小集团内的成员来获得特征谱;(2)对上述特征谱进行K...     

Interaction of a Low Frequency Coherent Magneto-Acoustic Wave with a Turbulent Spectrum of Extra-Ordinary Waves

Starting from nonlinear evolution equations of a three-dimensional extra-ordinary wavepacket in a magnetized plasma and introducing a correlation function, equations are derived that describe interaction of a coherent low-frequency magneto-acoustic wave with a turbulent spectrum of high frequency extra-ordinary waves. These equations are used to derive the dispersion relation for a low frequency magnetoacoustic wave in the presence of a spectrum of turbulent high frequency extra-ordinary waves. In the narrow spectrum case, it is found that a small but finite spread in the spectrum of turbulence has a stabilizing influence on the instability which exists for vanishing spectral width. In the wide spectrum case, the effect of a weak turbulent spectrum of extra-ordinary waves is to produce a slight shift in frequency of the coherent low frequency magneto-acoustic wave and to damp or excite the wave.     

The asymptotic spectrum of the EWMA covariance estimator

The exponentially weighted moving average (EWMA) covariance estimator is a standard estimator for financial time series, and its spectrum can be used for so-called random matrix filtering. Random matrix filtering using the spectrum of the sample covariance matrix is an established tool in finance and signal detection and the EWMA spectrum can be used analogously. In this paper, the asymptotic spectrum of the EWMA covariance estimator is calculated using the Mar?enko-Pastur theorem. Equations for the spectrum and the boundaries of the support of the spectrum are obtained and solved numerically. The spectrum is compared with covariance estimates using simulated i.i.d. data and log-returns from a subset of stocks from the S&P 500. The behaviour of the EWMA estimator in this limited empirical study is similar to the results in previous studies of sample covariance matrices. Correlations in the data are found to only affect a small part of the EWMA spectrum, suggesting that a large part may be filtered out.     

迭代最小二乘法气体光谱自动水汽差减算法

傅里叶红外光谱法具有测量速度快、信噪比高、检测范围广等优势,在针对污染源废气排放的快速检测及长时间在线监测中具有巨大的发展潜力。水汽是红外光谱污染气体检测中的主要干扰物,影响NO_X,SO₂等重要污染物的检测,差减水汽背景谱消除光谱中水汽干扰可提高这些污染物的检测精度,具有重要意义。气体光谱中水汽吸收峰由于受到水分子团簇、仪器线型函数等影响,通过数值方法对其计算的误差较大;为此,水汽背景谱一般需采用同一台光谱仪实测获得。主要有两种方法： 第一种是通过反复调节水汽/氮气混合气中的水汽浓度,使水汽背景谱中的水汽吸收峰与污染气体光谱中水汽吸收峰相同,此方法耗时较长,且受环境条件制约很难在现场检测中使用;第二种方法是预先测量不同浓度的水汽光谱,在检测污染气体时选取两幅与污染气体光谱中水汽吸收峰最为接近且将其夹在中间的水汽光谱作为参考谱,使用这两幅参考谱线性拟合与污染气体光谱中水汽吸收峰相同的水汽背景谱,此方法可获得高度近似的水汽背景谱,但当前缺乏相关自动算法妨碍了其在快速自动消除水汽干扰方面的应用。为此,提出一种选取水汽参考谱及拟合水汽背景谱的自动算法,用于自动差减消除水汽干扰。在参考谱选取中,使用污染气体光谱依次减去浓度由低至高的水汽光谱,依据差减后光谱中水汽吸收峰所在波数的吸光度正负性来选取参考谱。在水汽背景谱计算中,基于迭代最小二乘法逐步剔除光谱中受污染物吸收峰干扰的波数,采用剩余波数上的数据拟合水汽背景谱,使其与污染气体光谱中水汽吸收峰相一致。使用水汽背景谱对污染气体光谱进行差减即可消除污染气体光谱中的水汽干扰。对含有NO₂的污染气体光谱进行了差减消除水汽干扰实验,结果表明所提出的自动算法可快速准确消除水汽干扰;NO₂在消除水汽干扰后可由其位于1 629 cm-1的强吸收峰检测,相比消除水汽干扰前使用不受水汽干扰的位于2 917 cm-1的弱吸收峰检测,其检出限得到了大幅提高。     

Turbulence spectra generated by singularities

The problem of turbulence spectra generated by the singularities located on lines and planes is considered. It is shown that the frequency spectrum of fluid-surface displacements due to whitecaps (linear singularities) is scaled like a weakly turbulent Zakharov-Filonenko spectrum. The corresponding wave-vector spectrum may be highly anisotropic with a decrease in maximum, as in the Phillips spectrum. However, in the isotropic situation, the spectrum differs markedly from the Phillips form. For a highly anisotropic two-dimensional turbulence, the vorticity jumps can generate the Kraichnan power-law distribution in the region of maximal angular peak. For the isotropic distribution, the turbulence spectrum coincides with the Saffman spectrum. For the shock-generated acoustic turbulence, the spectrum has the form of the Kadomtsev-Petviashvili spectrum Eω～ ω^?2 for all spatial dimensionalities.     

支持向量回归算法在光纤光栅非均匀应变重构中的应用

当布拉格光栅轴向存在大的应变梯度时,其反射光谱的形状会被扭曲.甚至出现多峰,发展非均匀应变分布重构方法对于结构健康监测技术具有重要意义.但采集反射光谱时的测试噪声会显著影响应变分布重构的精度.为此,提出了采用支持向量机对含噪的反射光谱进行回归预处理,并运用适应度排序改进的遗传优化算法结合传输矩阵反射光谱构建方法识别布拉格光栅轴向非均匀应变分布的方法.该方法将反射光谱视为时间序列.利用支持向量回归的全局优化和泛化能力进行噪声抑制.从而回归出有效的反射光谱;通过传输矩阵方法将光栅轴向应变分段均匀化,利用改进的遗传算法进行并行重构.对多种应变分布形式下的应变重构进行了仿真研究,结果表明,支持向量机方法可以有效地进行反射光谱同归,提高非均匀应变分布重构的精度.     

国外红外光谱连续变焦成像系统的研究进展

相比红外光谱定焦成像系统和红外光谱两档成像系统而言,红外光谱连续变焦成像系统具有连续变化的视场,可对目标进行连续成像,是未来红外光谱成像技术的发展方向。为了提高红外光谱连续变焦成像系统的探测性能、实现低成本、良好的消热差性能,近年来国外开发了一些新技术。概述了国外红外材料、红外探测器、冷光阑等方面的新技术,及这些新技术在红外光谱变焦成像系统中的具体应用,列举了使用新型红外材料实现消热差的红外目标探测连续变焦系统,中波红外、长波红外光谱双波段连续变焦系统,高变焦比红外光谱连续变焦系统,应用可变冷光阑技术的红外光谱连续变焦系统设计实例,作为国内红外光谱变焦成像系统发展的借鉴。     

海面波浪谱对深海低频环境噪声的影响

提出了一种适用于深海低频环境噪声的波浪谱,通过声压谱和波浪谱的理论关系,分析了深海低频噪声在百赫兹以下的谱特征,解释了不同频段噪声谱的主要产生机理。将深海传播条件下海面波浪谱与海面风速相结合,利用波浪发声理论得到一种低频海洋环境噪声理论表示方法。仿真结果表明,波浪谱决定着辐射噪声谱的强度和斜率,本模型得到的理论噪声谱可以对低频海洋环境噪声进行预报。2016年的深海实验观测数据分析显示,统计的环境噪声谱级在1 Hz至100 Hz频段范围内大于70 dB,并且噪声谱在低频段呈倒“N”型,在34 Hz处为噪声谱的谷值,噪声级为70 dB,在50 Hz处为噪声谱的峰值,噪声级为92 dB,通过理论计算和实验对比,相关系数为0.95,理论结果和实验测量对比结果符合较好。