hf.bt                package:haarfisz                R Documentation

_h_f._b_t

_D_e_s_c_r_i_p_t_i_o_n:

     Denoises a Gaussian contaminated vector using a version of the
     wavelet-based ``greedy tree" algorithm by Baraniuk, see the
     reference in the thesis.

_U_s_a_g_e:

     hf.bt(x, filter.number = 1, family = "DaubExPhase", min.level = 3, noise.level = NULL) 

_A_r_g_u_m_e_n_t_s:

       x: The noisy vector, its length must be a power of 2.

filter.number: The filter number of the analysing wavelet. Can be set
          to 1, 2, ..., 10 for 'family == "DaubExPhase"', or to 4, 5,
          ..., 10 for 'family == "DaubLeAsymm"'.

  family: The family of wavelet bases from which the wavelet
          'filter.number' is chosen. Can be set to "DaubExPhase" or
          "DaubLeAsymm".

min.level: The minimum level thresholded.

noise.level: Standard deviation of the noise, can be set to a positive
          number or NULL; in the latter case it will be estimated using
          MAD.

_V_a_l_u_e:

     Returns:  item{est}{Denoised version of 'x'.}

_A_u_t_h_o_r(_s):

     Piotr Fryzlewicz

