Hilbert               package:waveslim               R Documentation

_D_i_s_c_r_e_t_e _H_i_l_b_e_r_t _W_a_v_e_l_e_t _T_r_a_n_s_f_o_r_m_s

_D_e_s_c_r_i_p_t_i_o_n:

     The discrete Hilbert wavelet transforms (DHWTs) for seasonal and 
     time-varying time series analysis.  Transforms include the usual
     orthogonal (decimated), maximal-overlap (non-decimated) and
     maximal-overlap packet transforms.

_U_s_a_g_e:

     dwt.hilbert(x, wf, n.levels=4, boundary="periodic", ...)
     dwt.hilbert.nondyadic(x, ...)
     idwt.hilbert(y)
     modwt.hilbert(x, wf, n.levels=4, boundary="periodic", ...)
     imodwt.hilbert(y)
     modwpt.hilbert(x, wf, n.levels=4, boundary="periodic")

_A_r_g_u_m_e_n_t_s:

       x: Real-valued time series or vector of observations.

      wf: Hilbert wavelet pair

n.levels: Number of levels (depth) of the wavelet transform.

boundary: Boundary treatment, currently only 'periodic' and
          'reflection'.

       y: Hilbert wavelet transform object (list).

     ...: 

_A_u_t_h_o_r(_s):

     B. Whitcher

_R_e_f_e_r_e_n_c_e_s:

     Selesnick, I. (200X). _IEEE Signal Processing Magazine_

     Selesnick, I. (200X). _IEEE Transactions in Signal Processing_

     Whither, B. and P.F. Craigmile (2004).  Multivariate Spectral
     Analysis  Using Hilbert Wavelet Pairs, _International Journal of
     Wavelets,  Multiresolution and Information Processing_, to appear.

_S_e_e _A_l_s_o:

     'hilbert.filter'

