DOG                  package:Rwave                  R Documentation

_C_o_n_t_i_n_u_o_u_s _W_a_v_e_l_e_t _T_r_a_n_s_f_o_r_m _w_i_t_h
_d_e_r_i_v_a_t_i_v_e _o_f _G_a_u_s_s_i_a_n

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

     Computes the continuous wavelet transform with for
     (complex-valued)  derivative of Gaussian wavelets.

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

     DOG(input, noctave, nvoice=1, moments, twoD=TRUE, plot=TRUE)

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

   input: input signal (possibly complex-valued). 

 noctave: number of powers of 2 for the scale variable. 

 moments: number of vanishing moments of the wavelet (order of the
          derivative). 

  nvoice: number of scales in each octave (i.e. between two consecutive
          powers of 2) 

    twoD: logical variable set to T to organize the output as a 2D
          array  (signal_size x nb_scales), otherwise, the output is a
          3D array  (signal_size x noctave x nvoice) 

    plot: if set to T, display the modulus of the continuous wavelet
          transform on the graphic device 

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

     The output contains the (complex) values of the wavelet transform
     of the input signal. The format of the output can be 

     2D array (signal_size x nb_scales)

     3D array (signal_size x noctave x nvoice)

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

     continuous (complex) wavelet transform

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

     See discussions in the text of ``Practical Time-Frequency
     Analysis''.

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

     `cwt', `cwtp', `cwtsquiz', `cgt'.

