crcrec | R Documentation |

Reconstructs a real valued signal from the output of `crc`

(wavelet case) by minimizing an appropriate quadratic form.

crcrec(siginput, inputwt, beemap, noct, nvoice, compr, minnbnodes=2, w0=2 * pi, bstep=5, ptile=0.01, epsilon=0, fast=FALSE, para=5, real=FALSE, plot=2)

`siginput` |
original signal. |

`inputwt` |
wavelet transform. |

`beemap` |
occupation measure, output of |

`noct` |
number of octaves. |

`nvoice` |
number of voices per octave. |

`compr` |
compression rate for sampling the ridges. |

`minnbnodes` |
minimal number of points per ridge. |

`w0` |
center frequency of the wavelet. |

`bstep` |
size (in the time direction) of the steps for chaining. |

`ptile` |
relative threshold of occupation measure. |

`epsilon` |
constant in front of the smoothness term in penalty function. |

`fast` |
if set to TRUE, uses trapezoidal rule to evaluate $Q_2$. |

`para` |
scale parameter for extrapolating the ridges. |

`real` |
if set to TRUE, uses only real constraints. |

`plot` |
1: displays signal,components,and reconstruction one after another. 2: displays signal, components and reconstruction. |

When ptile is high, boundary effects may appeare. para controls extrapolation of the ridge.

Returns a structure containing the following elements:

`rec` |
reconstructed signal. |

`ordered` |
image of the ridges (with different colors). |

`comp` |
2D array containing the signals reconstructed from ridges. |

`crc`

, `cfamily`

, `scrcrec`

.

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

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