Summary: Systems manipulate signals. There are a few simple systems which will perform simple functions upon signals. Examples include amplification (or attenuation), time-reversal, delay, and differentiation/integration.
Systems manipulate signals, creating output signals derived from their inputs. Why the following are categorized as "simple" will only become evident towards the end of the course.
Sources produce signals without having input. We like to think
of these as having controllable parameters, like amplitude and
frequency. Examples would be oscillators that produce periodic
signals like sinusoids and square waves and noise generators
that yield signals with erratic waveforms (more about noise
subsequently). Simply writing an expression for the signals
they produce specifies sources. A sine wave generator might be
specified by
An amplifier multiplies its input by a constant known as the amplifier gain.
| amplifier |
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The gain can be positive or negative (if negative, we would say that the amplifier inverts its input) and can be greater than one or less than one. If less than one, the amplifier actually attenuates. A real-world example of an amplifier is your home stereo. You control the gain by turning the volume control.
A system serves as a time delay when the output signal equals the input signal at an earlier time.
| delay |
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Here,
Here, the output signal equals the input signal flipped about the time origin.
| time reversal |
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Again, such systems are difficult to build, but the notion of time reversal occurs frequently in communications systems.
Mentioned earlier was the issue of whether the ordering of systems mattered. In other words, if we have two systems in cascade, does the output depend on which comes first? Determine if the ordering matters for the cascade of an amplifier and a delay and for the cascade of a time-reversal system and a delay.
In the first case, order does not matter; in the second it does.
"Delay" means
Case 1
Case 2 Time-reverse then delay:
Systems that perform calculus-like operations on their inputs
can produce waveforms significantly different than present in
the input. Derivative systems operate in a straightforward
way: A first-derivative system would have the input-output
relationship
Linear systems are a class of systems
rather than having a specific input-output relation. Linear
systems form the foundation of system theory, and are the most
important class of systems in communications. They have the
property that when the input is expressed as a weighted sum of
component signals, the output equals the same weighted sum of
the outputs produced by each component. When
This general input-output relation property can be manipulated to indicate specific properties shared by all linear systems.
We can find the output of any linear system to a complicated
input by decomposing the input into simple signals. The
equation above
says that when a system is linear, its output to a decomposed
input is the sum of outputs to each input. For example, if
Systems that don't change their input-output relation with time are said to be time-invariant. The mathematical way of stating this property is to use the signal delay concept described in Simple Systems.
The collection of linear, time-invariant systems are the most thoroughly understood systems. Much of the signal processing and system theory discussed here concentrates on such systems. For example, electric circuits are, for the most part, linear and time-invariant. Nonlinear ones abound, but characterizing them so that you can predict their behavior for any input remains an unsolved problem.
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"Electrical Engineering Digital Processing Systems in Braille."