cwtsquiz                package:Rwave                R Documentation

_S_q_u_e_e_z_e_d _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

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

     Computes the synchrosqueezed continuous wavelet transform with the
     (complex-valued) Morlet wavelet.

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

     cwtsquiz(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). 

       w: 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: logical variable set to T to T to display the modulus of the
          squeezed wavelet transform on the graphic device. 

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

     The output contains the (complex) values of the squeezed 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:

     synchrosqueezed 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', `DOG', `cgt'.

