icm: Ridge Estimation by ICM Method

In Rwave: Time-Frequency Analysis of 1-D Signals

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.

Rwave documentation built on Oct. 22, 2022, 1:05 a.m.