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1) Write X(Z) as a power series.
 
1) Write X(Z) as a power series.
  
2) <math>X(Z) = \sum_{n=-\infty}^{\infty} \ C_n Z^n \ </math>  , series must converge for all Z's on the ROC of X(Z)
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<math>X(Z) = \sum_{n=-\infty}^{\infty} \ C_n Z^n \ </math>  , series must converge for all Z's on the ROC of X(Z)
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2) Observe that
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<math>X(Z) = \sum_{n=-\infty}^{\infty} \ x[n] Z^(-n) \ </math>

Revision as of 04:55, 23 September 2009

                                                  Inverse Z-transform
$  x[n] = \oint_C {X(Z)}{Z ^ (n-1)} , dZ \  $
where C is a closed counterwise countour inside the ROC of the Z- transform and around the origin.
            $  = \sum_{poles  a_i ( X(Z) Z ^ (n-1))}  Residue ( X(Z) Z ^ (n-1)) \  $
            $  = \sum_{poles  a_i ( X(Z) Z ^ (n-1))}  Coefficient of degree (-1) term on the power series expansion of ( X(Z) Z ^ (n-1)) about a_i \  $

So inverting X(Z) involves power series.

$ f(X)= \sum_{n=0}^\infty \frac{f^n X_0 (X-X_0)^n}{n!} \ $ , near $ X_0 $

$ \frac{1}{(1-x)} = \sum_{n=0}^\infty X^n \ $ , geometric series where |X|=1


Computing equivalent to complex integration formula's

1) Write X(Z) as a power series.

$ X(Z) = \sum_{n=-\infty}^{\infty} \ C_n Z^n \ $ , series must converge for all Z's on the ROC of X(Z)

2) Observe that

$ X(Z) = \sum_{n=-\infty}^{\infty} \ x[n] Z^(-n) \ $

Alumni Liaison

Sees the importance of signal filtering in medical imaging

Dhruv Lamba, BSEE2010