coronoid                package:Rwave                R Documentation

_R_i_d_g_e _E_s_t_i_m_a_t_i_o_n _b_y _M_o_d_i_f_i_e_d _C_o_r_o_n_a _M_e_t_h_o_d

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

     Estimate a ridge using the modified corona method (modified cost
     function).

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

     coronoid(tfrep, guess, tfspec=numeric(dim(tfrep)[2]), subrate=1,
     temprate=3, mu=1, lambda=2 * mu, iteration=1000000, seed=-7,
     stagnant=20000, costsub=1, plot=T)

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

   tfrep: Estimate for the contribution of the noise to modulus. 

   guess: Initial guess for the algorithm. 

  tfspec: Estimate for the contribution of the noise to modulus. 

 subrate: Subsampling rate for ridge estimation. 

temprate: Initial value of temperature parameter. 

      mu: Coefficient of the ridge's derivative in cost function. 

  lambda: Coefficient of the ridge's second derivative in cost
          function. 

iteration: Maximal number of moves. 

    seed: Initialization of random number generator. 

stagnant: Maximum number of stationary iterations before stopping. 

 costsub: Subsampling of cost function in output. 

    plot: When set(default), some results will be shown on the display. 

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

     To accelerate convergence, it is useful to preprocess modulus
     before running annealing method. Such a preprocessing (smoothing
     and subsampling of modulus) is implemented in `coronoid'. The
     parameter subrate specifies the subsampling rate.

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

     Returns the estimated ridge and the cost function. 

   ridge: 1D array (of same length as the signal) containing the ridge. 

    cost: 1D array containing the cost function. 

_W_a_r_n_i_n_g:

     The returned cost may be a large array. The argument costsub
     allows subsampling the cost function.

_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', `snake', `snakoid'.

