In mathematics and signal processing, the advanced z-transform is an extension of the z-transform, to incorporate ideal delays that are not multiples of the sampling time. It takes the form

${\displaystyle F(z,m)=\sum _{k=0}^{\infty }f(kT+m)z^{-k}}$

where

• T is the sampling period
• m (the "delay parameter") is a fraction of the sampling period ${\displaystyle [0,T].}$

It is also known as the modified z-transform.

The advanced z-transform is widely applied, for example to accurately model processing delays in digital control.

If the delay parameter, m, is considered fixed then all the properties of the z-transform hold for the advanced z-transform.

Consider the following example where ${\displaystyle f(t)=\cos(\omega t)}$:

${\displaystyle {\begin{aligned}F(z,m)&={\mathcal {Z}}\left\{\cos \left(\omega \left(kT+m\right)\right)\right\}\\&={\mathcal {Z}}\left\{\cos(\omega kT)\cos(\omega m)-\sin(\omega kT)\sin(\omega m)\right\}\\&=\cos(\omega m){\mathcal {Z}}\left\{\cos(\omega kT)\right\}-\sin(\omega m){\mathcal {Z}}\left\{\sin(\omega kT)\right\}\\&=\cos(\omega m){\frac {z\left(z-\cos(\omega T)\right)}{z^{2}-2z\cos(\omega T)+1}}-\sin(\omega m){\frac {z\sin(\omega T)}{z^{2}-2z\cos(\omega T)+1}}\\&={\frac {z^{2}\cos(\omega m)-z\cos(\omega (T-m))}{z^{2}-2z\cos(\omega T)+1}}.\end{aligned}}}$

If ${\displaystyle m=0}$ then ${\displaystyle F(z,m)}$ reduces to the transform

${\displaystyle F(z,0)={\frac {z^{2}-z\cos(\omega T)}{z^{2}-2z\cos(\omega T)+1}},}$

which is clearly just the z-transform of ${\displaystyle f(t)}$.