Transfer functions are commonly used in the analysis of systems such as
single-input single-output filters, typically within the fields of
signal processing,
communication theory, and
control theory. The term is often used exclusively to refer to
linear, time-invariant systems (LTI), as covered in this article. Most real systems have
non-linear
input/output characteristics, but many systems, when operated within
nominal parameters (not "over-driven") have behavior that is close
enough to linear that
LTI system theory is an acceptable representation of the input/output behavior.
In its simplest form for
continuous-time input signal

and output

, the transfer function is the linear mapping of the
Laplace transform of the input,

, to the output

:

or

where

is the transfer function of the LTI system.
In
discrete-time systems, the function is similarly written as

(see
Z-transform) and is often referred to as the pulse-transfer function.
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