crc: Ridge Extraction by Crazy Climbers

Description Usage Arguments Value References See Also Examples

Description

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

Usage

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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.

Examples

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   data(HOWAREYOU)
 plot.ts(HOWAREYOU)
 
cgtHOWAREYOU <- cgt(HOWAREYOU,70,0.01,100)

clHOWAREYOU <- crc(Mod(cgtHOWAREYOU),nbclimb=1000)

Rwave documentation built on May 2, 2019, 9:15 a.m.

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