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时间尺度域
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  “时间尺度域”译为未确定词的双语例句
     Matched Filters in Time-Scale Domain and It's Application in Signal Detection
     时间尺度域的匹配滤波器与信号检测
短句来源
     Design and Implement of Matched Filter in Time-Scale Domain
     时间尺度域匹配滤波器的设计与实现
短句来源
     In this paper, the applications in wideband correlation processing and target feature extraction are stlldied. Theoretic analysis and experimental results show that the continuous wavelet transform is an effect approach in ultra-wideband radar signal processing.
     研究其在宽带信号的相关处理和超宽带雷达目标特征提取两个方面的应用,理论分析和试验结果表明,在超宽带雷达信号处理中,宽带相关处理相当于时间尺度域的匹配滤波,采用连续子波变换从频域采样数据中提取目标散射中心是一种较为鲁棒的方法。
短句来源
     Wide-band signal detection based on time-scale domain 2-D correlation
     基于时间尺度域二维相关的宽带信号检测
短句来源
     The property of fractional Brownian motion(FBM)is studied in a time and time-scaledomain.
     从时域和时间尺度域研究了分数布朗运动的特性。
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  相似匹配句对
     A SUBSECTIONAL RECURRENCE MODEL FOR THE TIME SCALE
     时间尺度的分递推模型
短句来源
     TIME DOMAIN ELECTRON SPIN RESONANCE
     时间电子自旋共振
短句来源
     On the Time Scales
     关于时间尺度
短句来源
     Design and Implement of Matched Filter in Time-Scale Domain
     时间尺度匹配滤波器的设计与实现
短句来源
     Matched Filters in Time-Scale Domain and It's Application in Signal Detection
     时间尺度的匹配滤波器与信号检测
短句来源
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The property of fractional Brownian motion(FBM)is studied in a time and time-scaledomain. The increment of FBM is a stationary random process in the time domain and thewavelet transform of FBM is also a stationary random process in the time-scale domain. Theincrement of FBM and the wavelet transform of FBM can be viewed essentially as the outputthrough a bandpass linear system. Hence the general conclusion that the output of FBMthrough a bandpass linear time-invariant system will be a stationary process with...

The property of fractional Brownian motion(FBM)is studied in a time and time-scaledomain. The increment of FBM is a stationary random process in the time domain and thewavelet transform of FBM is also a stationary random process in the time-scale domain. Theincrement of FBM and the wavelet transform of FBM can be viewed essentially as the outputthrough a bandpass linear system. Hence the general conclusion that the output of FBMthrough a bandpass linear time-invariant system will be a stationary process with statisticself-similarity is proved and the method for the analysis and description of FBM is extended.

从时域和时间尺度域研究了分数布朗运动的特性。指出了在时域分析中,分数布朗运动的增量是一个平稳过程;在时间尺度域分析中,分数布朗运动的小波变换是一个平稳过程,而分数布朗运动的增量与分数布朗运动的小波变换本质上都可视为分数布朗运动经过一个带通的线性系统后的输出,故而推广证明了分数布朗运动通过一个带通的线性时不变系统后,其输出将是一个具有统计自相似性的平稳过程的结论,从而拓广了分数布朗运动分析与描述的途径。

A kind of matched filters in time-scale domain has been investigated in this paper based on continuous wavelet transforms, wavelet series and frame theory. It is shown that the wavelet based methods provide the same performance as traditional matched filters in ideal condition. Then we use it to detect transient signal with unknown parameters. Numerical examples and performance analysis show the method is effective and robust.

本文从连续子波变换和子波级数的性质及子波的框架理论出发,推导了时间尺度域的匹配滤波器形式,理论分析表明它的理想性能和匹配滤波器相同.然后将它应用于未知参数的瞬态信号检测,给出了例子、模拟结果和性能分析,表明了它的有效性和鲁棒性.

The time frequency analysis and time scale domain analysis for the spectrum of fractional Brownian motion are discussed. With an analysis of the non stationarity of fractional Brownian motion, the conclusion that the output of the non stationary fractional Brownian motion through a bandpass filter will be a stationary stochastic process is proved. The frequency domain analysis method for the spectrum of fractional Brownian motion based on linear time invariant filtering is proposed and discussed.

讨论了分数布朗运动功率谱的时频分析和时间尺度域分析方法,通过对分数布朗运动非平稳性的分析,证明了非平稳的分数布朗运动通过带通滤波器的输出为一平稳随机过程的结论,从而提出了一种基于线性时不变系统滤波的分数布朗运动功率谱的频域分析方法,并且对频域分析方法进行了讨论

 
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