icm {Rwave} | R Documentation |
Ridge Estimation by ICM Method
Description
Estimate a (single) ridge from a time-frequency representation, using the ICM minimization method.
Usage
icm(modulus, guess, tfspec=numeric(dim(modulus)[2]), subrate=1,
mu=1, lambda=2 * mu, iteration=100)
Arguments
modulus |
Time-Frequency representation (real valued). |
guess |
Initial guess for the algorithm. |
tfspec |
Estimate for the contribution of the noise to modulus. |
subrate |
Subsampling rate for ridge estimation. |
mu |
Coefficient of the ridge's second derivative in cost function. |
lambda |
Coefficient of the ridge's derivative in cost function. |
iteration |
Maximal number of moves. |
Details
To accelerate convergence, it is useful to preprocess modulus before
running annealing method. Such a preprocessing (smoothing and
subsampling of modulus) is implemented in icm
. The
parameter subrate specifies the subsampling rate.
Value
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. |
References
See discussions in the text of “Practical Time-Frequency Analysis”.
See Also
corona
, coronoid
, and snake
,
snakoid
.