- naginterfaces.library.wav.dim1_mxolap_fwd(x, comm)¶
dim1_mxolap_fwdcomputes the one-dimensional maximal overlap discrete wavelet transform (MODWT) at a single level. The initialization function
dim1_init()must be called first to set up the MODWT options.
For full information please refer to the NAG Library document for c09da
- xfloat, array-like, shape
contains the input dataset , for .
- commdict, communication object, modified in place
This argument must have been initialized by a prior call to
- cafloat, ndarray, shape
contains the th approximation coefficient, , for .
- cdfloat, ndarray, shape
contains the th detail coefficient, , for .
- (errno )
On entry, is inconsistent with the value passed to the initialization function: , should be .
- (errno )
On entry, the initialization function
dim1_init()has not been called first or it has not been called with , or the communication array [‘icomm’] has become corrupted.
dim1_mxolap_fwdcomputes the one-dimensional MODWT of a given input data array, , for , at a single level. For a chosen wavelet filter pair, the output coefficients are obtained by applying convolution to the input, . The approximation (or smooth) coefficients, , are produced by the low pass filter and the detail coefficients, , by the high pass filter. Periodic (circular) convolution is available as an end extension method for application to finite data sets. The number , of coefficients or is returned by the initialization function
Percival, D B and Walden, A T, 2000, Wavelet Methods for Time Series Analysis, Cambridge University Press