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signal and system part2, Thesis of Signals and Systems

good book 2nd part of signal and system

Typology: Thesis

2016/2017

Uploaded on 12/25/2017

hasanul
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3
Signals
and
Systems:
Part
II
In
addition
to
the
sinusoidal
and
exponential
signals
discussed
in
the
previous
lecture,
other
important
basic
signals
are
the
unit step
and
unit
impulse.
In
this
lecture,
we
discuss
these
signals
and
then proceed
to
a
discussion
of
sys-
tems,
first
in
general
and
then
in
terms of
various
classes
of
systems
defined
by
specific
system
properties.
The
unit
step,
both
for
continuous
and discrete
time,
is
zero
for
negative
time
and
unity
for positive
time.
In
discrete
time
the unit step
is
a
well-defined
sequence,
whereas
in
continuous
time
there
is
the
mathematical
complication
of
a discontinuity
at
the
origin.
A
similar
distinction
applies
to
the unit
im-
pulse.
In
discrete
time
the
unit
impulse
is
simply
a
sequence
that
is
zero
ex-
cept
at
n
=
0,
where
it
is
unity.
In
continuous
time,
it
is
somewhat
badly be-
haved mathematically,
being
of
infinite
height
and
zero
width
but
having
a
finite
area.
The
unit
step
and
unit
impulse are
closely
related.
In
discrete
time
the
unit
impulse
is
the
first
difference
of the unit
step,
and
the
unit
step
is
the run-
ning
sum
of
the
unit
impulse.
Correspondingly,
in
continuous
time
the
unit
im-
pulse
is
the
derivative
of
the
unit step,
and
the
unit step
is
the
running
integral
of
the
impulse.
As
stressed
in
the lecture, the
fact
that
it
is
a
first difference
and a running
sum
that
relate
the
step
and
the
impulse
in
discrete
time
and
a
derivative
and running
integral
that
relate
them
in
continuous
time
should
not
be
misinterpreted
to
mean
that
a
first difference
is
a
good
"representation"
of
a
derivative
or
that
a running
sum
is
a
good
"representation"
of
a
running
inte-
gral.
Rather, for
this particular
situation
those
operations
play
corresponding
roles
in
continuous
time
and
in
discrete
time.
As
indicated
above,
there
are a
variety
of
mathematical
difficulties
with
the
continuous-time
unit
step and
unit
impulse
that
we do
not
attempt
to
ad-
dress
carefully
in
these lectures.
This
topic
is
treated
formally
mathematically
through the
use
of
what
are
referred
to
as generalized
functions,
which
is
a
level
of
formalism
well
beyond
what
we
require
for
our
purposes.
The
essen-
tial
idea, however,
as
discussed
in
Section
3.7
of
the
text,
is
that
the
important
aspect
of these
functions,
in
particular
of
the
impulse,
is
not
what
its value
is
at
each
instant
of
time
but
how it behaves
under
integration.
pf3
pf4
pf5
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Signals and Systems:

Part II

In addition to the sinusoidal (^) and exponential signals discussed in the previous lecture, other important basic signals (^) are the unit step and unit impulse. In this lecture, we discuss these signals and then proceed to a discussion of sys- tems, first in general and then in terms of various classes of systems defined by specific system properties. The unit step, both for continuous and discrete time, (^) is zero for negative time and unity for positive time. In discrete time the unit step is a well-defined sequence, whereas in continuous time there is the mathematical complication of a discontinuity at the origin. A similar distinction applies to the unit im- pulse. In discrete time the unit impulse is simply a sequence that is zero ex- cept at n = 0, where it is unity. In continuous time, it is somewhat badly be- haved mathematically, being of infinite height and zero width (^) but having a finite area. The unit step and unit impulse are closely related. (^) In discrete time the unit impulse is the first difference of the unit step, and the unit (^) step is the run- ning sum of the unit impulse. Correspondingly, in continuous time the unit im- pulse is the derivative of the unit step, and the unit step is the running integral of the impulse. As stressed in the lecture, the fact that it is a first difference and a running sum that relate the step and the impulse in (^) discrete time and a derivative and running integral that relate them in continuous time should not be misinterpreted to mean that a first difference is a good "representation" of a derivative or that a running sum is a good "representation" of a running inte- gral. Rather, for this particular situation those operations play corresponding roles in continuous time and in discrete time. As indicated above, there are a variety (^) of mathematical difficulties with the continuous-time (^) unit step and unit impulse that we do not attempt to ad- dress carefully in these lectures. This topic is treated formally mathematically through the use of what are referred to as generalized functions, which is a level of formalism well beyond what we require for our purposes. The essen- tial idea, however, as discussed in Section 3.7 of the text, is that the important aspect of these functions, in particular of the impulse, is not what its value is at each instant of time but how it behaves under integration.

Signals and Systems 3-

In this lecture we also introduce systems.^ In^ their most^ general form,^ sys- tems are hard to deal with analytically because^ they^ have no^ particular^ prop- erties to exploit. In other^ words,^ general^ systems^ are^ simply^ too^ general.^ We define, discuss, and illustrate a^ number^ of^ system^ properties^ that^ we^ will^ find useful to refer to and exploit as the lectures proceed, among them memory, invertibility, causality, stability, time invariance, and linearity. The last two, linearity and time invariance, become^ particularly^ significant from^ this^ point on. Somewhat amazingly, as we'll see, simply^ knowing^ that^ a^ system^ is linear and time-invariant affords us an incredibly powerful^ array^ of^ tools^ for^ analyz- ing and representing it. While not all systems have these properties, many do, and those that do are often easiest to^ understand^ and implement.^ Consequent- ly, both continuous-time and discrete-time^ systems^ that^ are^ linear and^ time- invariant become extremely significant in^ system^ design,^ implementation,^ and analysis in a broad array of applications.

Suggested Reading

Section 2.4.1, The Discrete-Time Unit^ Step^ and^ Unit^ Impulse Sequences,^ pages 26- Section 2.3.2, The Continuous-Time Unit Step and Unit Impulse Functions, pages 22- Section 2.5, Systems, pages 35- Section 2.6, Properties of Systems, pages^ 39-

Signals and Systems 3-

TRANSPARENCY 3. The unit step sequence as the running sum of the unit impulse.

TRANSPARENCY

The unit^ step^ sequence expressed as a superposition of delayed unit impulses.

n

u[n]= S8[m] ms-C(

n < 8 Im]

n O

n>O

8[Im]

Signals and Systems: Part II

UNIT STEP FUNCTION: (^) CONTINUOUS -TIME

{0 t^ <^ 0

u (t)= t > 0

u(t )

0 t

O( t

u(t) = u(t) (^) as A - 0

UNIT IMPULSE FUNCTION

-du(t) 6(t) d d t

5(t)

6 (t)

duA(t)

dt

= 5A(t) as

TRANSPARENCY

3. The continuous-time unit step function.

TRANSPARENCY

3. The definition of the unit impulse as the derivative of the^ unit step.

A--

Signals and Systems: Part II 3-

TRANSPARENCY

Definition of a system.

x (t )

x (t)

x[n]

x[n]

Continuous -time system

10y (t )

  • (^0) y(t)

y [n]

-e y[n]

TRANSPARENCY

Interconnection of two systems in cascade.

Cascade

XI (^) O (^) yI

xi (^) System (^) yI

~ I y

Y2a X1 yI

Signals and Systems

TRANSPARENCY 3. Interconnection of two systems in parallel.

TRANSPARENCY 3. Feedback inter- connection of two systems.

feedback

xI x+y 2

x 2 =

Signals (^) and Systems

3-

STvnvariaic.

c (t)-w t)

(~C~ Iyy3: ~ I Me Tvarw~ ,

O4 (^) b 0 )

,6,ts'cawst Lo

Tvt1frl'w

DEMONSTRATION

Illustration of (^) an unstable system.

MARKERBOARD

~)C.h1hpk (^) C-.. 4 OTr

__j

MIT OpenCourseWare http://ocw.mit.edu

Resource: Signals and Systems Professor Alan V. Oppenheim

The following may not correspond to a particular course on MIT OpenCourseWare, but has been provided by the author as an individual learning resource.

For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.