### Description

The IDWT function is the inverse of DWT(`td_dwt_mle`

). IDWT applies
inverse wavelet transforms on multiple sequences simultaneously. IDWT
takes as input the output tbl_teradata and meta tbl_teradata
generated by DWT(`td_dwt_mle`

) and outputs the sequences in time domain. Because
the IDWT output is comparable to the DWT(`td_dwt_mle`

) input, the inverse
transformation is also called the reconstruction.

### Usage

td_idwt_mle ( coefficient = NULL, meta.table = NULL, input.columns = NULL, sort.column = NULL, partition.columns = NULL, coefficient.sequence.column = NULL, meta.table.sequence.column = NULL )

### Arguments

`coefficient` |
Required Argument. |

`meta.table` |
Required Argument. |

`input.columns` |
Required Argument. |

`sort.column` |
Required Argument. |

`partition.columns` |
Optional Argument. |

`coefficient.sequence.column` |
Optional Argument. |

`meta.table.sequence.column` |
Optional Argument. |

### Value

Function returns an object of class "td_idwt_mle" which is a named list
containing objects of class "tbl_teradata".

Named list members can be referenced directly with the "$" operator
using following names:

output.table

output

### Examples

# Get the current context/connection con <- td_get_context()$connection # Load example data. # This example uses hourly climate data for five cities on a given day. loadExampleData("dwt_example", "ville_climatedata") # Create object(s) of class "tbl_teradata". ville_climatedata <- tbl(con, "ville_climatedata") # Example 1 - # Apply DWT to sequences to create their coefficients and corresponding metadata. td_dwt_out <- td_dwt_mle(data = ville_climatedata, input.columns = c('temp_f','pressure_mbar','dewpoint_f'), sort.column = "period", wavelet = "db2", partition.columns = c("city"), level=2 ) # use the coefficient model tbl_teradata and the meta tbl_teradata # generated by td_dwt_mle() function and apply td_idwt_mle() to the # filtered coefficients to reconstruct the sequences. td_idwt_out <- td_idwt_mle(coefficient = td_dwt_out$coefficient, meta.table = td_dwt_out$meta.table, input.columns = c("temp_f","pressure_mbar","dewpoint_f"), sort.column = "waveletid", partition.columns = c("city") )