DWT2D Arguments - Teradata Vantage

OutputTable

Specify the name for the table that the function creates to store the coefficients output by the wavelet transform. This table must not exist.

MetaTable

Specify the name for the table that the function creates to store the meta information for the wavelet transform. This table must not exist.

TargetColumns

Specify the names of the columns in the input table or view that contain the data to transform. These columns must contain numeric values between -1e308 and 1e308. The function treats NULL as 0.

PartitionColumns

[Optional] Specify the names of the partition columns, which identify the sequences. Rows with the same partition column values belong to the same sequence. If you specify multiple partition columns, the function treats the first one as the distribute key of the output and meta tables.

Default behavior: All rows belong to one sequence, and the function creates a distribute key column named dwt_idrandom_name in both the output table and the meta table. In both tables, every cell of dwt_idrandom_name has the value 1.

IndexColumns

Specify the columns that contain the indexes of the input sequences. For a matrix, indexy_column contains the y coordinates and indexx_column contains the x coordinates.

Range

[Optional] Specify the start and end indexes of the input data, all of which must be integers. The range can specify a maximum of 1,000,000 cells. The function treats any NULL value as 0.

Index	Default
starty	minimum y index
startx	minimum x index
endy	maximum y index
endx	maximum x index

Wavelet

[Required if you omit WaveletFilterTable] Specify a wavelet filter name from the table Supported Wavelet Filter Names in DWT Arguments.

WaveletTransformLevel

Specify the wavelet transform level. The value level must be an integer in the range [1, 1000].

ExtensionMode

[Optional] Specify the method for handling border distortion, an extension_mode from the table Supported Extension Modes in DWT Arguments.

Default: 'sym'

CompactOutput

[Optional] Specify whether to ignore rows in which all coefficient values have an absolute value less than 1e-12).

Default: 'true'. For a sparse input matrix, ignoring such rows reduces the output table size.