Analog linear time-invariant systems

ADVERTISEMENT
From SEG Wiki
Jump to: navigation, search
Other languages:
English • ‎español
Digital Imaging and Deconvolution: The ABCs of Seismic Exploration and Processing
DigitalImaging.png
Series Geophysical References Series
Title Digital Imaging and Deconvolution: The ABCs of Seismic Exploration and Processing
Author Enders A. Robinson and Sven Treitel
Chapter 15
DOI http://dx.doi.org/10.1190/1.9781560801610
ISBN 9781560801481
Store SEG Online Store

A continuous-time signal f(t) is a (real or complex) function that is defined for every real number t. The number t represents continuous time. A continuous-time signal also is called an analog signal. An important type of analog signal is the impulse function . This function plays the same role as does the discrete impulse function , but it is not as easy to define. The impulse function , which also is known as the Dirac delta function, can be regarded as a generalized function. A generalized function cannot be defined as an isolated entity but instead must be viewed as the limit of a family of functions. Any family of functions with the following properties can be used to define the delta function . Here, is a parameter that characterizes the functions . The properties are


(17)

where f(t) is any function that is continuous at the origin t = 0. As a result, we can interpret as being a function that satisfies the identity


(18)

All of the formal properties of can be obtained from this identity.

An analog system is a continuous-time system that can be represented by a rule that transforms an analog signal u(t) into another analog signal y(t). The signal u(t) is called the input, and the signal y(t) is called the output. This input-output relationship is shown by

(19)

where S denotes the analog system. A system L is linear if


(20)

for any constants a and b and for any signals u(t) and v(t). A system is time invariant if


(21)

for any real time .

Let us now give some examples. The delay line , where the delay a is constant, is linear and time invariant. The rectifier is nonlinear and time invariant. The amplifier is linear and time varying.

An analog signal is said to be causal if the signal vanishes for time or anticausal if the signal vanishes for time . A noncausal signal is one with an anticausal component. An analog system is causal if a causal input produces a causal output. All physical, real-time systems are causal because they cannot respond to any input that has not yet occurred. From now on, we will be concerned with linear time-invariant systems. Generally, we will mean a causal system unless we specify otherwise.

The impulse-response function represents an important characterization of a linear time-invariant system. The impulse response is defined as the output of the system to a Dirac delta function input ; that is, . Because we regard the Dirac delta function as a causal signal, we see that we can distinguish a causal system from a noncausal system by the impulse response. That is, a system is causal if and only if h(t) is one sided (or causal).

As is the case with digital systems, the input-output relationship for an analog system is performed by the convolution operation. However, now the convolution is an integral. If u(t) is the input to an analog filter with impulse response h(t), the output is given by the convolution integral


(22)

The most important class of linear, time-invariant analog systems is the class of ARMA(p,q) systems. Such a system is given by a differential equation (with constant coefficients) of the form


(23)

Here, superscripts in parentheses represent time derivatives; for example, . If q = 0, the system reduces to an AR(p) system. On the other hand, if p = 0, the system reduces to an MA(q) system.


Continue reading

Previous section Next section
Digital linear time-invariant systems Digital transfer functions
Previous chapter Next chapter
Absorption none

Table of Contents (book)


Also in this chapter


External links

find literature about
Analog linear time-invariant systems
SEG button search.png Datapages button.png GeoScienceWorld button.png OnePetro button.png Schlumberger button.png Google button.png AGI button.png