NOTE: THIS DOCUMENT IS OBSOLETE, PLEASE CHECK THE NEW VERSION: "Mathematics of the Discrete Fourier Transform (DFT), with Audio Applications --- Second Edition", by Julius O. Smith III, W3K Publishing, 2007, ISBN 978-0-9745607-4-8. - Copyright © 2017-09-28 by Julius O. Smith III - Center for Computer Research in Music and Acoustics (CCRMA), Stanford University
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Difference Equation
Definition. The difference equation for a general, causal, linear time-invariant (LTI)digital filter is given by
whereis the input signal,
is the output signal, and the constants
,
,
,
are called difference equation coefficients, or more simply, filter coefficients. When the
and
coefficients are real numbers, then the filter is said to be real.
Definition. Equation Eq. (B.8) represents only causal LTI filters. A filter is said to be causal when the output does not depend on any ''future'' inputs. (In more colorful terms, a filter is causal if it does not ''laugh'' before it is ''tickled.'')
Definition. The maximum time span, in samples, used in creating each output sample is called the order of the filter. In Eq. (B.8), the order is the larger of
and
. Since
and
in Eq. (B.8) are assumed finite, Eq. (B.8) represents the class of finite order causal LTI filters.
In addition to difference equation coefficients, any LTI filter may be represented in the time domain by its response to a specific signal called the impulse.
Definition. The impulse signal is denoted as
and is defined by
Definition. The impulse response of a filter is the response of the filter to
and is most often denoted
.
Definition. A filter is said to be stable if the impulse response
approaches zero as
goes to infinity.