5. • Systems process input signals to produce output
signals
Example:
A CD player takes the signal on the CD and transforms it into a signal sent
to the loud speaker
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6. • A system takes a signal as an input and transforms it into
another signal
System
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Input signal
x(t)
Output signal
y(t)
7. • A system takes a signal as an input and transforms it into
another signal
• linear systems find important applications signal
processing and telecommunication
x(t) y(t)
x(t) y(t)
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Continuous Time
Discrete Time
8. • A system is time invariant if its behaviour and
characteristics are fixed over time
• E.g. The following CT system is time-invariant
• because it is invariant to a time shift, i.e. x2(t) = x1(t-t0)
y(t)= sin(x(t))
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9. Causal:
• A system is causal if the output at any time
depends on values of the input at only the
present and past times.
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10. • Time-invariance
A system is time invariant if the
system’s output is the same, given the same input
signal, regardless of time.
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11. • Stable system is one in which small input signals lead to
responses that do not diverge
• If an input signal is bounded, then the output signal must
also be bounded, if the system is stable
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x : x U y V
12. • System is said to be invertible if distinct inputs lead to
distinct outputs .
• If a system is invertible, an inverse system exists which,
when cascaded with the original system, yields an output
equal to the input of the first signal
• E.g. the CT system is invertible:
y(t) = 2x(t)
• because w(t) = 0.5*y(t) recovers the original signal x(t)
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