maxithresh               package:waved               R Documentation

_R_e_t_u_r_n_s _m_a_x_i_s_e_t _t_h_r_e_s_h_o_l_d

_D_e_s_c_r_i_p_t_i_o_n:

     Returns maxiset threshold for specified resolution levels.

_U_s_a_g_e:

     maxithresh(data, g, L = 2, F = (log2(length(data)) - 1), eta = sqrt(6))

_A_r_g_u_m_e_n_t_s:

    data: ~~Describe 'data' here~~ 

       g: ~~Describe 'g' here~~ 

       L: ~~Describe 'L' here~~ 

       F: ~~Describe 'F' here~~ 

     eta: ~~Describe 'eta' here~~ 

_D_e_t_a_i_l_s:

     ~~ If necessary, more details than the description above ~~

_V_a_l_u_e:

     Returns maxiset threshold for coarse resolution level equal to L, 
     and wavelet resolution levels L,...,F.

_A_u_t_h_o_r(_s):

     Marc Raimondo

_R_e_f_e_r_e_n_c_e_s:

     Johnstone, I., Kerkyacharian, G., Picard, D. and Raimondo, M. 
     (2004),  `Wavelet deconvolution in a periodic setting', {\em
     Journal of the Royal Statistical Society, Series B} {\bf
     66}(3),~547-573.  with discussion pp.627-652.

     Raimondo, M. and Stewart, M. (2006), `The WaveD Transform in R',
     preprint, School and Mathematics and Statistics, University of
     Sydney.

_S_e_e _A_l_s_o:

     'WaveD'

_E_x_a_m_p_l_e_s:

     library(waved)
     data=waved.example(TRUE,FALSE)
     maxithresh(data$lidar.noisy,data$g,L=3,F=7)

