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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
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.
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.
Periodic:
Even:
0 WOA
x(t) = x(-t)
TRANSPARENCY
Illustration of the signal A sin wot as an odd signal.
A (^) cos (w t (^) - -ff)
Periodic: x(t) (^) = x(t + TO)
-----------
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
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
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
TRANSPARENCY
Some important distinctions between continuous-time and discrete-time sinusoidal signals.
A cos(oot + #)
Distinct signals for distinct
Periodic (^) for any (^) choice (^) of o
A cos(E 0 n +^ G)
Identical signals for values of
Periodic only if
_ 21rm o (^) N
for some integers N > 0 and m
Go*
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 <
TRANSPARENCY 2. Continuous-time complex exponential signals and their relationship to sinusoidal signals.
a (^) = (^) r (^) + jo
x(t) =^ ICi^ ert^ cos(cot^ + 0) +^ jl|C^ ert^ sin(wot+^ 0)
L a >
a> n Jal^ <
Signals and Systems: Part I 2-
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
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 (^)?
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.