Translations:Model used for deconvolution/17/en

Other filters can be derived from a minimum-phase wavelet (Robinson, 1998). For example, we can divide the wavelet into two parts. One part consists of the wavelet’s first $\alpha$ coefficients and is called its head. The other part consists of all the coefficients beyond $\alpha$ and is called the wavelet’s tail. Such shaping operators can be computed by least squares. The shaping operator that shapes the wavelet into its head is called the head-shaping operator. Within computational accuracy, this operator is the same as the prediction-error operator for the trace for prediction distance $\alpha$. The shaping operator that shapes the wavelet into its tail is called the tail-shaping operator.