wd.int              package:wavethresh              R Documentation

_C_o_m_p_u_t_e_s "_w_a_v_e_l_e_t_s _o_n _t_h_e _i_n_t_e_r_v_a_l" _t_r_a_n_s_f_o_r_m

_D_e_s_c_r_i_p_t_i_o_n:

     This function actually computes the "wavelets on the interval"
     transform. 

     *NOTE:* It is not recommended that the casual user call this
     function. The "wavelets on the interval" transform is best called
     in 'WaveThresh' via the 'wd' function with the argument bc
     argument set to '"interval"'.

_U_s_a_g_e:

     wd.int(data, preferred.filter.number, min.scale, precond)

_A_r_g_u_m_e_n_t_s:

    data: The data that you wish to apply the "wavelets on the
          interval" transform to.

preferred.filter.number: Which wavelet to use to do the transform. This
          is an integer ranging from 1 to 8. See the Cohen, Daubeches
          and Vial (1993) paper. Wavelets that do not "overlap" a
          boundary are just like the ordinary Daubechies' wavelets.

min.scale: At which resolution level to transform to.

 precond: If true performs preconditioning of the input vector to try
          and ensure that simple polynomial sequences (less than in
          order to the wavelet used) map to zero elements.

_D_e_t_a_i_l_s:

     (The 'WaveThresh' implementation of the ``wavelets on the interval
     transform'' was coded by Piotr Fryzlewicz, Department of
     Mathematics, Wroclaw University of Technology, Poland; this code
     was largely based on code written by Markus Monnerjahn, RHRK,
     Universitat Kaiserslautern; integration into WaveThresh by GPN). 

     See the help on the "wavelets on the interval code" in the 'wd'
     help page.

_V_a_l_u_e:

     A list containing the wavelet transform of the 'data'. We again
     emphasize that this list is not intended for human consumption,
     use the 'wd' function with the correct 'bc="interval"' argument.

_R_E_L_E_A_S_E:

     Version 3.9.6 (Although Copyright Piotr Fryzlewicz and Markus
     Monnerjahn 1995-9).

_S_e_e _A_l_s_o:

     'wd', 'wr', 'wr.int'.

_E_x_a_m_p_l_e_s:

     #
     # The user is expected to call the wr
     # for inverting a "wavelets on the interval transform" and not to use
     # this function explicitly
     #

