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HankelTransform
- 整数阶离散汉克尔(hankel)正变换与反变换 快速汉克尔（hankel)正变换与反变换 discrete Hankel transform of integer order n fast Hankel transform of order n
hankejuzhenbianhuan
- 很好的hankel 矩阵变换,可以利用此矩阵，来进行hankel 变换，很好用的的，直接可以利用的。-very good hankel transform
HankelTransform
- 可以作为Matlab工具使用，包括n阶Hankel正变换和反变换-Matlab can be used as tools to use, including the n-th order Hankel transform and inverse transform is
Hankel-Transform
- hankel变换(滤波算法)-HANKELS变换函数，可以供学生学习之用-hankel transform (Filter)-HANKELS transformation function that can be used for students
Hankel
- matlab hankel 变换代码。包括两个程序：bessel_zeros 和hankel_matrix -matlab hankel transform code. Includes two programs: bessel_zeros and hankel_matrix
HankelTransform
- Matlab Hankel变换源代码，可以直接当做MATLAB toolbox来使用- MATLAB toolbox ________________________________________________________ Hankel transform ________________________________________________________ ** Contents 1.
NJCSTCFSN
- 用数值积分算法计算hankel变换,并采用连分式逼近-Hankel transform by continued fraction
hankel_filter
- hankel变换滤波算法J0（61点和120点）和J1（47点和140点）-hankel transform filtering algorithm J0 (61 points and 120 points) and J1 (47 points and 140 points)
G_pravin_zhq
- 基于核函数展开法的hankel变换的算法（主要是pravin的方法和zhq的方法）-Algorithm based on kernel function expansion method hankel transform (mainly pravin zhq methods and methods)
tem 1D
- 瞬变电磁法一维正演，层状模型，进行了hankel变换和逆傅立叶变换。还有二分法计算全区视电阻率。(tem 1D forward modeling)
hankel变换fortran程序
- 该资料较对需要fortan语言hankel滤波编程有较好用途(The data should be useful for programming with the fortan language hankel filter.)
Based_2_henkel_IALM_MC_DOA_DJ
- 利用2重hankel矩阵 变换恢复出全零行的数据，解决阵元受损的情况或对阵元进行降采样下的低空测角问题(Using the 2-fold Hankel matrix transformation to recover the data of all zero rows, solve the problem of low altitude angle measurement when array elements are damaged or array elements are downsamp
The Transforms and Applications Handbook
- 该资料介绍了包括Signals and Systems，Fourier Transforms，Sine and Cosine Transforms，The Hartley Transform，Laplace Transforms，The Z-Transform，Hilbert Transforms，Radon and Abel Transforms，The Hankel Transform，Wavelet Transform等在内的十多种变换，数学推导清晰，适合电子电器行业的研究人员学习。(Th