Consider a signal, y(t) defined as,
(t+2. Osts1
t-1
1st S2
5
2 st 55
3 3
,
0.
otherwise
The
energy of the signal y(t)is E = 3J.
A periodic signal z(t) is defined as,
OSIS6
z(t)=
y(t+6) for all t
The power of w(t) = 32 (21) is,
(a) 1/24 J
(b) 1/8J
(c) 1/16 J
(d) 1/4 J
Answers
Answer:
2.0 INTRODUCTION
The term signal is generally applied to something that conveys information. Signals
may, for example, convey information about the state or behavior of a physical system.
As another class of examples, signals are synthesized for the purpose of communicating
information between humans or between humans and machines. Although signals can
be represented in many ways, in all cases, the information is contained in some pattern
of variations. Signals are represented mathematically as functions of one or more in-
dependent variables. For example, a speech signal is represented mathematically as a
function of time, and a photographic image is represented as a brightness function of
two spatial variables. A common convention—and one that usually will be followed in
this book—is to refer to the independent variable of the mathematical representation
of a signal as time, although in specific examples, the independent variable may not in
fact correspond to time.
The independent variable in the mathematical representation of a signal may be
either continuous or discrete. Continuous-time signals are defined along a continuum of
time and are thus represented by a continuous independent variable. Continuous-time
signals are often referred to as analog signals. Discrete-time signals are defined at discrete
times, and thus, the independent variable has discrete values; that is, discrete-time signals
are represented as sequences of numbers. Signals such as speech or images may have
either a continuous- or a discrete-variable representation, and if certain conditions hold,
these representations are entirely equivalent. Besides the independent variables being
either continuous or discrete, the signal amplitude may be either continuous or discrete.
Digital signals are those for which both time and amplitude are discrete.