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BackProjectionbyrao

于 2020-10-28 发布 文件大小:4KB
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   多点目标 单站SAR的回波信号仿真以及BP后向投影成像 参数见合成孔径雷达成像——算法与实现一书表6.1 运行结果正确,注释比较详细(Percent more single station SAR point target echo signal simulation and backward projection imaging BP parameters, see synthetic aperture radar imaging- algorithm and implementation of a book Table 6.1 run result is correct, more detailed notes)

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BackProjectionbyrao
...................\BackProjection.asv,5147,2013-06-29
...................\BackProjection.m,5146,2013-06-29

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  • beijingquzao
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    积分:1
  • wavelettransforming
    labview小波工具箱以及关于小波变换去噪的源程序。(labview wavelet toolbox and on the wavelet transform denoising of the source.)
    2010-06-13 18:36:01下载
    积分:1
  • 3
    说明:  故障行波波头识别:模极大值原理识别故障行波波头(Modulus maxima principles identified wave head)
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    积分:1
  • xsj
    基于小波变换的碰磨故障信号的特征提取,可以画出信号原图,轴心轨迹,频谱图以及多层小波变换的重构信号(Based on wavelet transform rubbing fault signal feature extraction, the signal can be drawn artwork, orbit, spectrum and signal reconstruction wavelet multi-)
    2010-06-13 17:03:46下载
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  • Wt2
    三次B样条小波变换 希望对大家的学习工作有帮助(Cubic B-spline wavelet transform we study and work)
    2012-06-29 14:14:23下载
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    2005-05-27 21:54:02下载
    积分:1
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    双树复小波程序,具有平移不变心,改进了小波变换(The DTCWT program with shift-invariant heart improve wavelet transform)
    2013-04-24 14:39:28下载
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  • Wavelet-dec--rec
    在理解了离散小波变换的基本原理和算法的基础上,通过设计VC程序对简单的一维信 号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换,从而得到小波分解系数;再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用,以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。(In understanding the basis of discrete wavelet transform basic principles and algorithms, through the design VC program Daubechies wavelet, Morlet wavelet and Haar wavelet transform after a simple one-dimensional signal plus a Gaussian white noise, resulting wavelet coefficients wavelet reconstruction signal again by changing the layers to achieve high-frequency coefficients decomposed noise cancellation purposes. Can intuitively understand wavelet decomposition and reconstruction process and an important role in signal de-noising in the process of implementation of this program, and in the high-frequency coefficients when the weight of the layers selected for signal processing coefficients denoising affected.)
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