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signl and system part1, Thesis of Signals and Systems

good book for signal and system

Typology: Thesis

2016/2017

Uploaded on 12/25/2017

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2
Signals
and
Systems:
Part
I
In
this lecture,
we
consider
a
number
of
basic
signals
that
will
be
important
building
blocks
later
in
the
course.
Specifically,
we
discuss
both
continuous-
time
and discrete-time
sinusoidal
signals as
well
as real
and
complex expo-
nentials.
Sinusoidal signals
for
both
continuous
time
and
discrete
time
will
be-
come
important
building
blocks
for
more
general signals,
and
the
representa-
tion
using
sinusoidal
signals
will
lead
to
a
very
powerful
set
of
ideas
for
repre-
senting signals
and
for
analyzing
an
important
class
of
systems.
We
consider
a
number
of
distinctions between
continuous-time and discrete-time
sinusoidal
signals.
For
example,
continuous-time
sinusoids
are
always
periodic.
Further-
more,
a
time
shift
corresponds
to
a
phase
change
and
vice
versa.
Finally,
if
we
consider
the
family
of
continuous-time
sinusoids
of the
form
A
cos
wot
for
dif-
ferent
values
of
wo,
the
corresponding
signals
are
distinct.
The
situation
is
considerably
different
for
discrete-time
sinusoids.
Not
all
discrete-time sinu-
soids
are
periodic.
Furthermore,
while
a
time
shift
can
be
related
to
a
change
in
phase,
changing
the phase
cannot
necessarily
be
associated
with
a
simple
time
shift
for
discrete-time
sinusoids.
Finally,
as
the
parameter
flo
is
varied
in
the discrete-time
sinusoidal sequence
Acos(flon
+
4),
two
sequences
for
which
the
frequency
flo
differs
by
an
integer
multiple
of
27r
are
in
fact indistin-
guishable.
Another
important
class
of
signals
is
exponential
signals.
In
continuous
time,
real
exponentials
are
typically
expressed
in
the
form
cet,
whereas
in
dis-
crete
time
they
are
typically
expressed
in
the
form
ca".
A
third important
class
of
signals
discussed
in
this
lecture
is
continuous-
time
and
discrete-time
complex
exponentials.
In
both
cases the
complex ex-
ponential
can
be
expressed
through
Euler's
relation
in
the
form
of
a
real
and
an imaginary
part,
both
of
which are
sinusoidal
with
a
phase
difference
of
'N/2
and with
an
envelope
that
is
a
real
exponential.
When
the
magnitude
of
the
complex
exponential
is
a
constant,
then
the
real and
imaginary
parts
neither
grow
nor
decay
with
time;
in
other
words,
they
are purely
sinusoidal.
In
this
case
for
continuous
time,
the
complex
exponential
is
periodic.
For
discrete
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pf4
pf5
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pf9
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Signals and Systems:

Part I

In this lecture, we consider a number of basic signals that will be important building blocks later in the course. Specifically, we discuss both continuous- time and discrete-time sinusoidal signals as well as real and complex expo- nentials. Sinusoidal signals for both continuous time and discrete time will be- come important building blocks for more general signals, and the representa- tion using sinusoidal signals will lead to a very powerful set of ideas for repre- senting signals and for analyzing an important class of systems. We consider a number of distinctions between continuous-time and discrete-time sinusoidal signals. For example, continuous-time sinusoids are always periodic. Further- more, a time shift corresponds to a phase change and vice versa. Finally, if we consider the family of continuous-time sinusoids of the form A cos wot for dif- ferent values of wo, the corresponding signals are distinct. The situation is considerably different for discrete-time sinusoids. Not all discrete-time sinu- soids are periodic. Furthermore, while a time shift can be related to a change in phase, changing the phase cannot necessarily be associated with a simple time shift for discrete-time sinusoids. Finally, as the parameter flo is varied in

the discrete-time sinusoidal sequence Acos(flon + 4), two sequences for

which the frequency flo differs by an integer multiple of 27r are in fact indistin- guishable. Another important class of^ signals^ is^ exponential^ signals.^ In^ continuous time, real exponentials are typically expressed in the form cet, whereas in dis- crete time they are typically expressed in the form ca". A third important class of signals discussed in this lecture is continuous- time and discrete-time complex exponentials. In both cases the complex ex- ponential can be expressed through Euler's relation in the form of a real and an imaginary part, both of which are sinusoidal with a phase difference of 'N/ and with an envelope that is a real exponential. When the magnitude of the complex exponential is a constant, then^ the^ real and^ imaginary^ parts^ neither grow nor decay with time; in other words, they^ are purely^ sinusoidal.^ In^ this case for continuous time, the complex exponential is periodic. For discrete

Signals and Systems 2-

time the complex exponential^ may^ or^ may^ not^ be^ periodic depending^ on whether the sinusoidal real and imaginary components^ are^ periodic. In addition^ to^ the^ basic^ signals^ discussed^ in^ this^ lecture,^ a^ number^ of^ ad- ditional signals^ play^ an^ important^ role^ as^ building^ blocks.^ These^ are^ intro- duced in Lecture^ 3.

Suggested Reading

Section 2.2,^ Transformations^ of^ the Independent^ Variable,^ pages^ 12- Section 2.3.1, Continuous-Time Complex^ Exponential^ and^ Sinusoidal^ Signals, pages 17- Section 2.4.2, Discrete-Time Complex Exponential and Sinusoidal Signals, pages 27- Section 2.4.3, Periodicity Properties of^ Discrete-Time^ Complex^ Exponentials, pages 31-

Signals and^ Systems

TRANSPARENCY 2. Illustration of the signal A cos wot as an even signal.

x(t) = A cos wot

A

Periodic:

Even:

2r

0 WOA

x(t) = x(-t)

TRANSPARENCY

Illustration of the signal A sin wot as an odd signal.

A (^) cos (w t (^) - -ff)

  • x(t) =^ A^ sin^ wot A cos [ w(t- )]

Periodic: x(t) (^) = x(t + TO)

Odd: x(t) =-x(-t)

-----------

r (^) V

Signals and Systems: Part I

Time Shift => Phase Change

= A cos (^) [Mnn (^) + E2 0 n 0 ]

TRANSPARENCY 2. Illustration of discrete-time sinusoidal (^) signals.

TRANSPARENCY 2. Relationship between a time (^) shift and a phase change for discrete-time sinusoidal signals. In discrete time, a time shift always implies a phase change. A (^) cos [920(n (^) + no)]

Signals and Systems: Part I 2-

Time Shift^ =>^ Phase^ Change

A cos [20(n + no)]

Time Shift

= A (^) cos [Mon + (^) 9 0 n 0 ]

A cos^ [92^0 (n^ +^ no)]^ =

Phase Change

A (^) cos [2 n ++J

TRANSPARENCY

For a discrete-time sinusoidal sequence a time shift always implies a change in phase, but a change in phase might not imply a time shift.

x[n] = A cos (Wn + #)

Periodic?

x[n] = x [n + N]

A cos [20(n + N) +^ #]

smallest integer N

= (^) A (^) cos (^) [

= period

n + 2 N + #]

integer multiple^ of^ 27r^?

Periodic =^ >^^920 N^ 27rm

27rm

N,m must be integers

smallest N^ (if^ any)^ =^ period

TRANSPARENCY

The requirement onne for a discrete-time sinusoidal signal to be periodic.

Signals and^ Systems

TRANSPARENCY

Several sinusoidal sequences illustrating the issue of periodicity.

(^12) 060

S

0

p= 0

TII

00T0I 1IT,.

TRANSPARENCY

Some important distinctions between continuous-time and discrete-time sinusoidal signals.

A cos(oot + #)

Distinct signals for distinct

values of wo

Periodic (^) for any (^) choice (^) of o

A cos(E 0 n +^ G)

Identical signals for values of

Eo separated by^ 27r

Periodic only if

_ 21rm o (^) N

for some integers N > 0 and m

'TTI TII

~TIH,.TT~

Go*

n

000

ese

" 1 01 - a In I 1 01

Signals (^) and Systems 2-

TRANSPARENCY 2. Illustration of discrete-time real exponential sequences.

REAL EXPONENTIAL: DISCRETE-TIME

x[n] = Ceon = Can C,a are^ real^ numbers

a <

n a l

TRANSPARENCY 2. Continuous-time complex exponential signals and their relationship to sinusoidal signals.

COMPLEX EXPONENTIAL: CONTINUOUS-TIME

x(t) =^ Ceat

C and a are complex numbers

C= ICI ej 6

a (^) = (^) r (^) + jo

x(t) =^0 e jo^ e^ (r^ +^ jcoo)t

= ICI^ ert^ ej(wot^ +^ 0)

Euler's Relation: cos( 0t + 0) + j sin(wot + 0) = ej(wot +^ 0)

x(t) =^ ICi^ ert^ cos(cot^ + 0) +^ jl|C^ ert^ sin(wot+^ 0)

L a >

a> n Jal^ <

Signals and Systems: Part I 2-

TRANSPARENCY

Sinusoidal signals with exponentially growing and exponentially decaying envelopes.

COMPLEX EXPONENTIAL: DISCRETE-TIME

x[n] = Can

C and a are complex numbers

C = ICI eji

a= 1al ei

x [n] = C ej (lal ejo) n

= IC^ 1al^ n^ e^ j(^ on + 0)

Euler's Relation: cos(2 0 n + 0) + j sin(&2 0 n + 0)

x[n] = ICI lal n cos(92on + 0)+^ j^ IC I|al^ n^ sin(92on + 0)

|al = 1 => sinusoidal real and imaginary parts

Ce jon (^) periodic (^)?

TRANSPARENCY

Discrete-time complex exponential signals and their relationship to sinusoidal signals.

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.