cwtp                  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 _P_h_a_s_e _D_e_r_i_v_a_t_i_v_e

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

     Computes the continuous wavelet transform with (complex-valued) 
     Morlet wavelet and its phase derivative.

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

     cwtp(input, noctave, nvoice=1, w0=2 * pi, 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 

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

      w0: central frequency of the wavelet. 

    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:

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

     list containing the continuous (complex) wavelet transform and the
     phase derivative 

      wt: array of complex numbers for the values of the continuous
          wavelet transform. 

       f: array of the same dimensions containing the values of the
          derivative of the phase of the continuous 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:

     `cgt', `cwt', `cwtTh', `DOG' for wavelet transform, and `gabor'
     for continuous Gabor transform.

