波数域的英文

• wavenumber domain

• "波"英文翻译    wave
• "数域"英文翻译    number field
• "波数域褶积" 英文翻译 :    convolution in wave number domain
• "频率波数域" 英文翻译 :    frequency-wavenumber domain
• "频率波数域偏移" 英文翻译 :    frequency-wavenumber migration
• "数域" 英文翻译 :    number field
• "波数" 英文翻译 :    number of waves; wave number; wavenumber; wn
• "参数域" 英文翻译 :    parameter field
• "常数域" 英文翻译 :    constant field; field of constants
• "复数域" 英文翻译 :    complex domain; complex field; complex number field; field of complex numbers
• "函数域" 英文翻译 :    domain of function; function field
• "实数域" 英文翻译 :    field of real numbers; real number field
• "系数域" 英文翻译 :    coefficient domain; field of coefficients; field of scalars
• "波数差" 英文翻译 :    wave-number difference
• "波数计" 英文翻译 :    ondometer
• "波数谱" 英文翻译 :    wave number spectrum; wavenumber spectrum
• "波数校" 英文翻译 :    wave number calibration
• "脉波数" 英文翻译 :    pulse number
• "视波数" 英文翻译 :    apparent wavenumber
• "圆波数" 英文翻译 :    circular wavenumber
• "周波数" 英文翻译 :    dtmf; ghz; khz
• "阈波数" 英文翻译 :    threshold wave number
• "代数函数域" 英文翻译 :    algebraic function field; field of algebraic functions
• "代数数域" 英文翻译 :    algebraic number field
• "高斯数域" 英文翻译 :    gaussian number field

• K algorithm is discussed , and compared with rd algorithm . from the simulation and the real imaging result , since
  3 .讨论了sar波数域成像算法,并与rd算法做了比较和分析。
• Finally , the polarimetric calibration methods based on echo data and image data are proposed , and computer simulations validate the methods
  最后分别提出了基于回波域和二维波数域的极化校准方法,仿真结果验证了该方法的有效性。
• Chapter 4 discusses how to process live data by adopting wavenumber domain ( w _ k ) algorithm and its simplified algorithm , and achieves satisfying results
  第四章采用波数域及其简化算法分别对星载旁视sar和机载前斜视sar真实数据进行处理，取得了预期的结果。
• The achievement of the thesis can be described as follow : 1 . principle and algorithm of previous magnetic data processing methods have been presented in detail and every algorithm has been programmed
  本文主要取得了如下的成果： 1对空间域和波数域的磁异常处理方法进行了研究并编程实现。
• Chapter 3 analyzes the principle of wavenumber domain ( w _ k ) algorithm and simplified wavenumber domain algorithm in detail . with the realization of emulation , performance of these two methods is compared
  第三章详细分析了波数域成像算法及其简化算法的原理，采用上述两种方法进行了仿真，并对两者的性能作比较。
• Range - doppler algorithm is a one dimensional algorithm . wavenumber domain algorithm and chirp scaling algorithm are two dimensional algorithms . this paper discusses their theory and processing flow
  Range - doppler算法是一种一维处理算法，波数域算法和chirpscaling算法是二维联合处理算法，本文讨论了它们的原理及流程。
• As follow : 1 . two solutions of estimating the doppler centroid are put forward . we processe the doppler centroid estimation in the frequency domain and time domain . also this chapter discusses principle of the doppler centroid estimation
  本文主要研究了多普勒参数估计及波数域算法,主要有以下几个方面: 1 .阐述了多普勒质心估计的两种方法:频域估计法和时域估计法。
• K method fft the echo signal , and transform it to the ? k domain , it is the most effective method to implement the 2 - d sar shifting filter . however , stolt interpolation will increase the imaging time , and will influence the quality of the image
  波数域成像算法是sar二维移变滤波器的最有效实现,但是stolt插值运算将带来附加的计算量并且频域插值精度对成像质量有一定影响。
• In chapter two , psr ( point spread response ) h ( t , x ; r0 ) is adopted to depict the model of sas system . exact transfer function is also given . time domain algorithm , range - doppler algorithm and wave number domain algorithm are being discussed and compared on this foundation
  在此基础上，分别讨论时域算法、距离? ?多普勒算法、波数域算法并对其进行了比较，并对波数域算法的并行性做了初步研究。
• This paper discusses several questions about imaging algorithms of sar . mainly it discusses three imaging algorithms - range - doppler algorithm , wavenumber domain algorithm and chirp scaling algorithm . still it discusses the assistant processing algorithms of imaging algorithms - doppler centroid estimation algorithms and autofocus algorithms
  本文论述了合成孔径雷达( sar )成像算法方面的一些问题，主要讨论了三种成像算法? ? - range - doppler算法，波数域算法及chirpscaling算法，并讨论了成像算法的辅助处理算法? ?中心频率估计算法及自聚焦算法。