regrec2                package:Rwave                R Documentation

_R_e_c_o_n_s_t_r_u_c_t_i_o_n _f_r_o_m _a _R_i_d_g_e

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

     Reconstructs signal from a ``regularly sampled'' ridge, in the
     wavelet case, from a precomputed kernel.

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

     regrec2(siginput, cwtinput, phi, nbnodes, noct, nvoice, Q2,
     epsilon=0.5, w0=2 * pi, plot=F)

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

siginput: input signal. 

cwtinput: wavelet transform, output of `cwt'. 

     phi: unsampled ridge. 

 nbnodes: number of samples on the ridge 

    noct: number of octaves (powers of 2) 

  nvoice: number of different scales per octave 

      Q2: second term of the reconstruction kernel 

 epsilon: coefficient of the Q_2 term in reconstruction kernel 

      w0: central frequency of Morlet wavelet 

    plot: if set to T, displays original and reconstructed signals 

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

     The computation of the kernel may be time consuming. This function
     avoids recomputing it if it was computed already.

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

     Returns a list containing: 

     sol: reconstruction from a ridge. 

       A: <wavelets,dualwavelets> matrix. 

     lam: coefficients of dual wavelets in reconstructed signal. 

dualwave: array containing the dual wavelets. 

morvelets: array containing the wavelets on sampled ridge. 

 solskel: wavelet transform of sol, restricted to the ridge. 

inputskel: wavelet transform of signal, restricted to the ridge. 

 nbnodes: number of nodes used for the reconstruction. 

_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:

     `regrec', `gregrec', `ridrec', `sridrec'.

