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Linearity

$ \mathfrak{Z}\big\{ax[n]+by[n]\big\}=a\mathfrak{Z}\big\{x[n]\big\}+b\mathfrak{Z}\big\{y[n]\big\}\;\;\;\;\;\forall a,b \in \mathbb{C} \;\;\;, \forall signals \; x[n],y[n] $


if

  $ \mathfrak{Z}\big\{x[n]\big\} = X(Z)\;with\;ROC = R_1 $
  $ \mathfrak{Z}\big\{y[n]\big\} = Y(Z)\;with\;ROC = R_2 $

then

  $ ax[n]+bx[n]\longrightarrow aX(Z)+bY(Z)\;\;\;with\;ROC = R_1 \cap R_2 $


Time Shifting

$ \mathfrak{Z}\big\{x[n-n_0]\big\} = z^{-n_0}\mathfrak{Z}\big\{x[n]\big\}\;same\;ROC\;as\;x[n] $


Proof: let $ n_o $ be a finite integer

$ \mathfrak{Z}\big\{x[n-n_0]\big\}=\sum_{n=-\infty}^{\infty}x[n-n_0]z^{-n}\;\;\;let\;\;\;k = n-n_0 $

= $ \sum_{k=-\infty}^{\infty}x[k]z^{-k-n_0} = z^{-n_0}\sum_{k=-\infty}^{\infty}x[k]z^{-k} $

= $ z^{-n_0}X(Z) $

Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman