wpst               package:wavethresh               R Documentation

_N_o_n-_d_e_c_i_m_a_t_e_d _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 the non-decimated wavelet packet transform
     as described by Nason, Sapatinas and Sawczenko, 1998. The
     non-decimated wavelet packet transform (NWPT) contains all
     possible shifted versions of the wavelet packet transform.

_U_s_a_g_e:

     wpst(data, filter.number=10, family="DaubLeAsymm", FinishLevel)

_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".

FinishLevel: 

_D_e_t_a_i_l_s:

     This function computes the packet-ordered non-decimated wavelet
     packet transform of data as described by Nason, Sapatinas and
     Sawczenko, 1998. It assumes periodic boundary conditions. The
     order of computation of the NWPT is O(n^2) if n is the number of
     input data points. 

     Packets can be extracted from the 'wpst.object' produced by this
     function using the 'getpacket.wpst' function. Whole resolution
     levels of non-decimated wavelet packet coefficients in time order
     can be obtained by using the 'accessD.wpst' function.

_V_a_l_u_e:

     An object of class 'wpst' containing the discrete packet-ordered
     non-decimated wavelet packet coefficients.

_R_E_L_E_A_S_E:

     Version 3.8.8 Copyright Guy Nason 1997

_S_e_e _A_l_s_o:

     'accessD', 'accessD.wpst', 'filter.select', 'getpacket',
     'getpacket.wpst',

_E_x_a_m_p_l_e_s:

     #
     # EXAMPLE pending
     #

