crc                  package:Rwave                  R Documentation

_R_i_d_g_e _E_x_t_r_a_c_t_i_o_n _b_y _C_r_a_z_y _C_l_i_m_b_e_r_s

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

     Uses the "crazy climber algorithm" to detect ridges in the modulus
     of a continuous wavelet or a Gabor transform.

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

     crc(tfrep, tfspec=numeric(dim(tfrep)[2]), bstep=3, iteration=10000,
     rate=0.001, seed=-7, nbclimb=10, flag.int=TRUE, chain=TRUE,
     flag.temp=FALSE)

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

   tfrep: modulus of the (wavelet or Gabor) transform. 

  tfspec: numeric vector which gives, for each value of the scale or
          frequency the expected size of the noise contribution. 

   bstep: stepsize for random walk of the climbers. 

iteration: number of iterations. 

    rate: initial value of the temperature. 

    seed: initial value of the random number generator. 

 nbclimb: number of crazy climbers. 

flag.int: if set to T, the weighted occupation measure is computed. 

   chain: if set to T, chaining of the ridges is done. 

flag.temp: if set to T: constant temperature. 

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

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

     Returns a 2D array called beemap containing the (weighted or
     unweighted) occupation measure (integrated with respect to time)

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

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

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

     `corona', `icm', `coronoid', `snake', `snakoid' for ridge
     estimation, `cfamily' for chaining and
     `crcrec',`gcrcrec',`scrcrec' for reconstruction.

