This slideshow teaches you some basic ideas about signals and types of signals. Some basic types are discussed briefly along with images for your better understanding.

1. PRESENTATION (SIGNAL AND SYSTEM)
MALIK MUSTAFA RAZA
17MDELE0432
ELECTRICAL POWER

2. • Signals are variables that carry information.
• It is described as a function of one or more independent
variables.
• Basically it is a physical quantity. It varies with some
independent or dependent variables.
• Signals can be One-dimensional or multidimensional.
Signal

3. 1. Continuous-time and discrete-time signals
2. Periodic and non-periodic signals
3. Casual and Non-casual signals
4. Even and odd signals
Classification of signals

4. • CT signals take on real or complex values as a function of an
independent variable that ranges over the real numbers and are
denoted as x(t).
• DT signals take on real or complex values as a function of an
independent variable that ranges over the integers and are
denoted as x[n].
• Note the subtle use of parentheses and square brackets to
distinguish between CT and DT signals.
Continuous time (CT) & discrete time (DT)
signals:

6. • Periodic signals have the property that x(t + T)
= x(t) for all t.
• The smallest value of T that satisfies the
definition is called the period.
• Shown in the next slide are an non-periodic
signal and a periodic signal .
Periodic and Non Periodic signal:

7. EXAMPLE OF PERIODIC AND NON PERIODIC
SIGNAL:

8. • A causal signal is zero for t < 0.
• An noncausal signal is zero for t > 0
Causal &Non-causal Signals:

9. • Even signals xe(t) and odd signals xo(t) are defined as
xe(t) = xe(− t) and xo(t) = −xo (− t) .
• Any signal is a sum of unique odd and even signals .
Using x(t) =xe (t) + xo(t) and
x(− t) = xe(t)−xo(t) ,
yields xe(t) = 0.5 (x(t) + x(− t)) and
xo(t) =0.5(x(t)−x(− t)) .
EVEN AND ODD SIGNALS:

10. EVEN AND ODD SIGNALS EXAMPLE:

11. THANK YOU.