Description Usage Arguments Details Value Author(s) Examples

Analytic D matrix quantisation noise process

1 | ```
deriv_qn(tau)
``` |

`tau` |
A |

The haar wavelet variance is given as *nu^2(tau) = 3*Q[0]^2 / 2*tau^2*.
Taking the derivative with respect to *Q[0]^2* yields:

*3/(2*tau^2)*

.
The second derivative derivative with respect to *Q[0]^2* is then:

*0*

.

A `matrix`

with the first column containing the partial derivative with respect to *Q[0]^2*.

JJB

1 | ```
deriv_qn(2^(1:5))
``` |

gmwm documentation built on April 14, 2017, 4:38 p.m.

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