The preferred operational-calculus tool for analysis and design of discrete-time systems. (It should not be confused with the z transformation.) The role of the z transform with regard to discrete-time systems is similar to that of the Laplace transform for continuous systems. In fact, the Laplace transform is a specialized case of the z transform. The z transform is by far the more insightful tool, and the Laplace transform is just the limiting case of the z transform in a practical as well as a conceptual way. See also Control systems; Digital filter; Laplace transform; Linear system analysis.
It is useful to consider a band-limited real continuous signal, x(t), with no significant amount of energy above a frequency, fc. This signal is sampled at uniformly spaced intervals of time, T, 2T, 3T, …, nT, …, where the sampling interval, T, and the sampling frequency, fs, are reciprocals of one another, and where fs is greater than 2fc, a condition necessary for unambiguous interpretation of the sampled signal. If the common shorthand notation x(nT) = xn is used, the definition of the z transform of x(t) is given by the equation 
The coefficient of z−p is therefore the value of the pth sample of the time signal. This gives a great deal of physical insight to the use of the z transform, a feature not shared by the Laplace transform. The Laplace transform can be found by evaluating the limit of the z transform as T approaches zero. See also Analog-to-digital converter; Information theory.