cr.sparse.wt.wavedec¶
- cr.sparse.wt.wavedec(data, wavelet, mode='symmetric', level=None, axis=- 1)[source]¶
Computes multilevel 1D discrete wavelet transform
- Parameters
data (jax.numpy.ndarray) – Input signal array whose DWT is to be computed
wavelet (str or cr.sparse.wt.DiscreteWavelet) – The wavelet to be used to compute DWT (by name or object)
mode (
str, optional) – Signal extension mode to be used during DWT computation. Default ‘symmetric’. See Modes for available modes.axis (int, optional) – The axis along which the vectors from data will be picked for computing DWT. Default -1 (last axis).
level (int, optional) – The number of decomposition levels for which DWT will be computed. If the level is unspecified, then it will be computed automatically based on data length and wavelet decomposition filter length.
- Returns
- [cA_n, cD_n, cD_{n-1}, …, cD_1] A list of wavelet decomposition coefficients of the data.
First entry in the tuple is the approximation coefficients array at decomposition level n. Second is the detail coefficients array at level n. Third is the detail coefficients array at level n-1. And so on. The last entry in the tuple is the detail coefficients array at level 1 of the wavelet decomposition.
- Return type
