R: Ridge Extraction by Crazy Climbers

crc {Rwave} | R Documentation

## Ridge Extraction by Crazy Climbers

### Description

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

### Usage

    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)

### Arguments

`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 TRUE, the weighted occupation measure is computed.
`chain` | if set to TRUE, chaining of the ridges is done.
`flag.temp` | if set to TRUE: constant temperature.

### Value

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

### References

See discussion in text of “Practical Time-Frequency Analysis”.

### See Also

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

[Package Rwave version 2.4-5 Index]