accessD.wpst           package:wavethresh           R Documentation

_G_e_t _c_o_e_f_f_i_c_i_e_n_t_s _f_r_o_m _a _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 _o_b_j_e_c_t (_w_p_s_t) _i_n _t_i_m_e _o_r_d_e_r.

_D_e_s_c_r_i_p_t_i_o_n:

     The coefficients from a non-decimated wavelet packet object,
     'wpst', are stored in a particular order in the wpst component of
     the wpstobj object. This function extracts all the coefficients
     corresponding to a particular wavelet packet in time order.

_U_s_a_g_e:

     accessD.wpst(wpst, level, index, ...)

_A_r_g_u_m_e_n_t_s:

    wpst: Non-decimated wavelet packet object from which you wish to
          extract time-ordered coefficients.

   level: The resolution level that you wish to extract. This can range
          from zero (the coarsest coefficients) to nlevels-1(wstobj)
          which are the finest scale coefficients.

   index: The wavelet packet index that you require (sequency
          ordering). This can range from 0 (father wavelet coeffcients)
          to '2^(nlevels - level) - 1', i.e. the maximum is dependent
          on the resolution level.

     ...: any other arguments

_D_e_t_a_i_l_s:

     The 'wpst' function performs a non-decimated wavelet packet
     transform. This function extracts the coefficients at a particular
     resolution level specified by level in time order. 

     It is possible to extract the individual packets (before
     interweaving, i.e. the direct result of multiple applications of
     the packet operators) by using the 'getpacket.wpst' function.

_R_e_f_e_r_e_n_c_e_s:

     Nason, G.P., Sapatinas, T. and Sawczenko, A. Statistical modelling
     using undecimated wavelet transforms.

_S_e_e _A_l_s_o:

     'wpst', 'wpst.object', 'accessD', 'getpacket.wpst'

_E_x_a_m_p_l_e_s:

     #
     # Get the 4th level of coefficients from a decomposition
     #
     #accessD(wpst(data), level=4)

