deriv_qn: Analytic D matrix for Quantization Noise (QN) Process

In SMAC-Group/gmwm: Generalized Method of Wavelet Moments

Description

Obtain the first derivative of the Quantization Noise (QN) process.

Usage

deriv_qn(tau)

Arguments

tau	A vec containing the scales e.g. 2^tau

Value

A matrix with the first column containing the partial derivative with respect to Q^2.

Process Haar WV First Derivative

Taking the derivative with respect to Q^2 yields:

d/dQ2 nu[j]^2 (Q2) = (6) / (tau[j]^2)

Author(s)

James Joseph Balamuta (JJB)

Examples

deriv_qn(2^(1:5))

SMAC-Group/gmwm documentation built on Sept. 11, 2021, 10:06 a.m.