Search Introduction to Digital Filters
Book Index | Global Index
Would you like to be notified by email when Julius Orion Smith III publishes a new entry into his blog?
The Z Transform
The bilateral z transform of the discrete-time signal
is
defined to be
 |
(7.1) |
where

is a
complex variable. Since signals are typically defined
to begin (become nonzero) at time

, and since
filters are often
assumed to be
causal,
7.1 the
lower summation limit given above may be written as 0 rather than

to yield the
unilateral z transform:
 |
(7.2) |
The unilateral
z transform is most commonly used.
For inverting
z transforms, see §
6.8.
Recall (§4.1) that the mathematical representation of a
discrete-time signal
maps each integer
to a complex
number (
) or real number (
). The z transform
of
, on the other hand,
, maps every complex number
to a new complex number
. On a higher
level, the z transform, viewed as a linear operator, maps an entire
signal
to its z transform
. We think of this as a ``function to
function'' mapping. We may say
is the z transform of
by writing
or, using operator notation,
which can be abbreviated as
One also sees the convenient but possibly misleading notation

, in which

and

must be understood as
standing for the entire domains

and

, as
opposed to denoting particular fixed values.
The z transform of a signal
can be regarded as a polynomial in
, with coefficients given by the signal samples. For example,
the signal
has the
z transform

.
Previous:
Transfer Function AnalysisNext:
Existence of the Z
Transform
written by Julius Orion Smith III
Julius Smith's background is in electrical engineering (BS Rice 1975, PhD Stanford 1983). He is presently Professor of Music and Associate Professor (by courtesy) of Electrical Engineering at
Stanford's Center for Computer Research in Music and Acoustics (CCRMA), teaching courses and pursuing research related to signal processing applied to music and audio systems. See
http://ccrma.stanford.edu/~jos/ for details.