difference between Fourier transform and Z-Transform?
Fourier transform is the analysis and synthesis of continuous time varying signals Fourier Transform can be generalized that is to define a signal by basis signals and For periodic signals using periodic signals like SINE and COS .. where as Z transform deals with discrete time signals simply the signals that aren't moniterd for continuous time .. As one domain is never enuf to completely define a signal
The Fourier Transform is used to analyze periodic signals, while the z-transform analyzes difference equations. The z-transform is defined as $$ \Large X(z) = \mathcal{Z}\{x[n]\} = \sum_{n=-\infty}^{\infty} x[n] z^{-n} $$ The discrete version of the Fourier Transform is the z-transform constrained to the unit circle in the complex plane: $$ \Large X_{2\pi}(\omega) = \sum_{n=-\infty}^{\infty} x[n] \,e^{-i \omega n}. $$ This connection between the Fourier Transform and the Z-Transform is discussed here: http://en.wikipedia.org/wiki/Discrete-time_Fourier_transform#Relationship_to_the_Z-transform
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