wp                package:wavethresh                R Documentation

_W_a_v_e_l_e_t _p_a_c_k_e_t _t_r_a_n_s_f_o_r_m.

_D_e_s_c_r_i_p_t_i_o_n:

     This function computes a wavelet packet transform (computed by the
     complete binary application of the DH and DG packet operators, as
     opposed to the Mallat discrete wavelet transform which only
     recurses on the DH operator [low pass]).

_U_s_a_g_e:

     wp(data, filter.number=10, family="DaubLeAsymm", verbose=FALSE,

_A_r_g_u_m_e_n_t_s:

    data: A vector containing the data you wish to decompose. The
          length of this vector must be a power of 2.

filter.number: This selects the smoothness of wavelet that you want to
          use in the decomposition. By default this is 10, the
          Daubechies least-asymmetric orthonormal compactly supported
          wavelet with 10 vanishing moments.

  family: specifies the family of wavelets that you want to use. The
          options are "DaubExPhase" and "DaubLeAsymm".

 verbose: if 'TRUE' then (un)helpful messages are printed during the
          execution.

_D_e_t_a_i_l_s:

     The paper by Nason, Sapatinas and Sawczenko, 1998 details this
     implementation of the wavelet packet transform. A more thorough
     reference is Wickerhauser, 1994.

_V_a_l_u_e:

     An object of class 'wp' which contains the (decimated) wavelet
     packet coefficients.

_R_E_L_E_A_S_E:

     Version 3.0 Copyright Guy Nason 1994

_S_e_e _A_l_s_o:

     'accessC.wp', 'accessD.wp', 'basisplot.wp',
     'draw.wp','drawwp.default', 'filter.select', 'getpacket.wp',
     'InvBasis.wp', 'MaNoVe.wp', 'plot.wp', 'print.wp', 'putC.wp',
     'putD.wp', 'putpacket.wp', 'summary.wp', 'threshold.wp',
     'wp.object'.

_E_x_a_m_p_l_e_s:

     #
     # EXAMPLE - pending
     #

