共查询到20条相似文献，搜索用时 78 毫秒
1.
振动信号处理技术能够提取反映结构健康的特征信息,在导管架平台健康监测中发挥了重要作用。为了给导管架平台健康监测与振动特征提取的发展提供借鉴和指导,文中对导管架平台特征提取中常用的信号处理方法:傅里叶变换、小波变换和希尔伯特-黄(Hilbert-Huang)变换进行了综述,系统总结了它们的基本理论、适用范围、优缺点以及在导管架平台健康监测中的应用情况。文中发现傅里叶变换方法简单、适用性强,对于平稳信号有很好的处理效果;小波变换和希尔伯特-黄变换能很好地提取非平稳信号的时频特性,在导管架平台健康监测与特征提取中应用广泛。同时,随着人工智能算法的快速发展,未来的发展中,可以进行信号处理方法与人工智能算法的结合使用,以期获得更好的信号处理效果。 相似文献
2.
3.
4.
舰艇目标航行时往往向水中辐射大量线状谱结构的声波信号,线谱信号检测对舰艇目标的被动探测至关重要。实际水下环境噪声常表现为时域非平稳噪声,常规离散傅里叶变换类线谱检测方法时域积分时,不可避免会引入非平稳噪声背景中出现的短时强干扰噪声,使积分结果中线谱信噪比大幅降低,线谱检测性能急剧恶化。为解决上述问题,对分段离散傅里叶变换结果进行幅度归一化,补偿分段线谱信号间相位差,提出了一种非平稳噪声背景下的线谱相干检测方法。仿真结果表明,相比常规 DFT 类线谱检测方法,所提方法能够降低时域非平稳背景噪声起伏影响,具有更优的非平稳噪声背景下线谱检测性能,并能获得对线谱信号的相干处理增益。 相似文献
5.
6.
基于现有地磁日变理论和改正方法,对国际公开地磁静日变数据进行傅里叶变换和一维连续小波变换综合分析,判断大于0.2 Hz频段为磁扰变化场在频域的体现,并利用一维离散小波变换将数据分离,完善了已有的地磁静日变改正方法。根据日变数据特征和一维离散小波分解特性,选定sym8小波作为基本小波对数据进行7尺度分解,将日变数据中长期变化和短期变化与磁扰部分在保证保真度条件下有效分离,并与傅里叶级数分解和低通滤波处理效果作对比验证,结果显示一维离散小波变换处理效果更佳。日变数据中短、长期变化与磁扰两部分数据的有效分离并分别改正可提高海洋地磁测量日变改正质量,降低海洋地磁数据处理过程中误差累积程度,提高了现行日变改正方法的科学性、准确性。 相似文献
7.
根据青岛海洋地质研究所新购置System II型海洋重力仪的静态观测实验,分析了重力数据的变化情况,检测到该仪器单日记录数值较为稳定,但伴随有小于±0.1mGal左右的震荡。同时分析了该设备对固体潮的反映,静态观测重力值所展现的变化特征和周期性与固体潮相一致。鉴于其能明显反应固体潮对静态观测重力值的影响,可认为其静态观测精度优于0.2mGal。并测定了重力仪月漂值小于国家标准3mGal/月。同时比较讨论了与KSS31M型重力仪在中科院海洋研究所的静态观测数据的区别与联系。 相似文献
8.
中国南海是内波频发海域,卫星遥感在内波参数特征的统计分析中得到了广泛应用,但是卫星轨道的重复访问时间长,不能连续观测内波参数的变化特征。X波段海洋雷达具有高时间和空间分辨率,可以长期连续观测内波的变化,本文提出了利用X波段海洋雷达图像提取内波参数的方法,并利用连续观测的数据研究了各参数的分布特征。首先,对雷达图像进行预处理,包括平均处理及斜坡校正两步;利用二维快速傅里叶变换确定内波的传播方向,进而根据该方向上的径向廓线确定内波的相速度大小、波长及周期。最后,利用在南海石油平台上观测的X波段雷达图像对内波各参数进行提取和统计分析,结果表明,研究区域内波的传播方向多为西北向及西向传播,相速度多为0.6~0.8 m/s,波长一般为400~600 m,周期大部分不超过1000 s。 相似文献
9.
本文通过乘法散射校正(multiplicative scattering correction MSC)、一阶求导(1st Derivative,Db1)和Norris平滑等傅里叶变换近红外光谱定量分析数学模型,用交叉验证法确定了最优化建模参数,构建了牡蛎中氨基酸的快速定量测定方法。结果表明,牡蛎近红外光谱与氨基酸含量化学计量学拟合,线性相关系数为0.9860,交叉验证后线性相关系数为0.9794,对牡蛎样品进行检测,结果与传统的氨基酸分析仪的测试结果相比,相对误差小于2.5%,方法的精密度(RSD)小于1.0%,本文建立的傅里叶变换近红外光谱法定量分析牡蛎中氨基酸具有快速、准确、操作简便等特点,测定重复性优于氨基酸分析仪法。 相似文献
10.
面元法的快速算法与B样条高阶方法综述 总被引：1，自引：0，他引：1
介绍了面元法的快速算法及B样条高阶方法的发展概况，对快速多极算法及预修正快速傅里叶变换方法做了详细的介绍，指出了这些方法今后的发展方向。 相似文献
11.
天津近海潮汐特征分析 总被引：1，自引：0，他引：1
对塘沽海洋环境监测站从1950年-2008年,59年的潮汐资料进行调和分析,分析了其分潮调和常数的变化曲线,并利用FFT谱分析方法对其调和常数的变化周期和原因进行了分析;之后应用FFT谱分析方法对去除天文潮后的余水位进行分解,分析了近50多年来年平均余水位的多层次周期分布,进而利用最小二乘法进行线性分析,分析了天津近海... 相似文献
12.
In an attempt to investigate the technical feasibility of a CW Doppler sonar, we have examined a method of measuring low velocities with a high-velocity resolution, or frequency resolution, by use of a simple circuit configuration employing digital signal processing technique. The following discussion presents the results of the investigation. In the measuring method described, the fast Fourier transform (FFT) of undersampled data is calculated and the Doppler shift is obtained by searching for a peak frequency of the power spectrum. To achieve the intended frequency resolution of 1 Hz by FFT operation, measurement of data for a minimum measuring period of 1 s is essential. If the sampling frequency is set to 50 kHz, the number of samples obtained during the minimum measuring period of I s would amount to 50000. This is not practical in light of the time required for the FFT operation. To overcome this problem, our new measuring method employs a decimation technique for reducing the number of samples down to 1024 while maintaining a frequency resolution of about 1 Hz. This paper describes how the processing time can be drastically reduced to about 1/300th compared to the conventional technique by a combination of complex exponential functions, filtering and decimation, and thereby indicates the possibility of real-time CW Doppler data processing 相似文献
13.
Wavelet and artificial neural network analyses of tide forecasting and supplement of tides around Taiwan and South China Sea 总被引：1，自引：0，他引：1
In multi-resolution analysis (MRA) by wavelet function Daubechies (db), we decompose the signal in two parts, the low and high-frequency contents. We remove the high-frequency content and reconstruct a new “de-noise” signal by using inverse wavelet transform. The calculation of tidal constituent phase-lags was made to determine the input and output data patterns used in building network structure of Artificial Neuron-Network (ANN) model. The “de-noise” signal was, then, used as the input data to improve the forecasting accuracy of the ANN model. The wavelet spectrum, conventional energy spectrum (fast Fourier transform, FFT), and harmonic analysis were used to analyze the characteristics of tidal data.Using only a very short-period data as a training data set in Artificial Neuron-Network Back-Propagate (ANN-BP) model, the developed ANN+Wavelet model can accurately predict or supply the missing tide data for a long period (1–5 years). The results also show that the concept of tidal constituent phase-lags can improve ANN model of tidal forecasting and data supplement. The addition of the wavelet analysis to ANN method can prominently improve the prediction quality. 相似文献
14.
研究了基于GPS高频数据进行海浪测量的方法。利用TRACK解算得海上载体高精度的垂向位移,经浪潮分离提取海浪信号,分别采用相关函数法和周期图法估计海浪信号的功率谱,并计算海浪要素。利用实测数据进行试验,结果表明,周期图法推算的平均波高和平均周期精度较高,与测波仪结果差异分别小于2cm和0.25s,基于GPS高频数据的海浪测量方法可有效反演海浪要素。 相似文献
15.
Review of JONSWAP Spectrum Based on Storm 149 from North Alwyn 总被引：1，自引：0，他引：1
1 .IntroductionItiswellknownthatthewavespectrumisveryusefulforthepredictionofwavecharacteristicsbothinthecomputationofshipmotionandwaveloadonoffshorestructuresandinthesimulationatshipandoceanbasinsformodeltests.InengineeringpracticemanyspectralformulaecanbeselectedforacertainseaareasuchasrecommendedbytheInternationalTowingTankConferenceITTC (TheSpecialistCommitteeofWaves) .TheJONSWAPspectralformulaiswidelyemployedinoceanengi neeringdesignandareviewofitisnecessarybasedonsomemeasureddata… 相似文献
16.
所谓海浪过程的数值模拟,就是根据预先给定的海浪过程的谱密度模拟出与之对应的海浪过程,然后利用它去研究各种有关的问题.例如,当研究多桩柱石油平台的结构物经受波浪影响时,可以把波浪对结构物的作用问题看作一个随机过程系,用几个点的联合海浪过程模拟来处理.文献[1]中,已给出单过程海浪模拟实现的方法步骤.但是,由于伪随机数的产生及富氏变换的正、余弦函数的运算在电子计英机土所需要的时间,随着离散序列和迭加子波数的增加而急剧增加,从而使模拟波面需要的时间较长.为此我们寻求快速模拟海浪波面过程的方法.本文提出运用FFT算法的快速模拟联合海浪过程的模式,并以单过程为例说明FFT在海浪数值模拟中的应用. 相似文献
17.
The Three-Array Processor (TAP III) beamforming system incorporating both wide-band time-domain beamforming and narrow-band frequency-domain beamforming is described. This paper briefly develops the beamforming theory and shows how the fast Fourier transform (FFT) is applied to accomplish frequency-domain beamforming. The frequency-domain beamformer operates in the frequency domain to form beams and power spectrum data over narrow frequency bands of interest. A real-time digital filtering technique is used to extract the narrow bands of interest from the broad-band input signal. The frequency-domain beamformer accomplishes real-time digital filtering and beamforming by using a high-speed array processor to do the complex calculations and data handling required by the algorithm. The time-domain beamformer operates in parallel with the frequency-domain beamformer to form up to 16 broad-band beams in the time domain. A programmable all-pass digital filter is used to create the fine time delays required by the time-domain beamformer. 相似文献
18.
19.
A statistical theory of signal coherence 总被引：1，自引：0，他引：1
A periodic signal can be perfectly predicted far into the future since it perfectly repeats every period. There is always some variation in the waveform over time for signals which are labeled as periodic but which are not truly deterministic. A formal definition is presented in this paper for such a varying periodic signal and the properties of such a class of signals are exploited. A measure called a signal coherence function of the amount of random variation in each Fourier component of the signal is defined and its statistical properties are developed. This signal coherence function is very different from the coherence function between two stationary signals. The method is applied to a digitized record of an acoustic signal generated by a boat in a bag in the Baltic Sea south of Stockholm, Sweden 相似文献