This preview shows page 1. Sign up to view the full content.
Unformatted text preview: sinusoid, a nd a n
e xponentially varying sinusoid.
A signal t hat is symmetrical a bout t he vertical axis (t = 0) is a n e ven function
of time, a nd a signal t hat is a ntisymmetrical a bout t he vertical axis is a n o dd
function of time. T he p roduct of a n even function with a n o dd function results in
a n o dd function. However, t he p roduct of a n even function with a n even function or
a n o dd function with a n o dd function results in a n even function. T he a rea u nder
a n o dd function from t =  a t o a is always zero regardless of t he value of a. O n
t he o ther h and, t he a rea under an even function from t =  a t o a is two times t he
a rea u nder t he same function from t = 0 t o a (or from t =  a t o 0). Every signal
can be expressed as a sum of o dd a nd even function of time.
A system processes i nput signals t o p roduce o utput signals (response). T he
i nput is t he cause and t he o utput is its effect. In general, t he o utput is affected
by two causes: t he i nternal conditions of t he s ystem (such as t he initial conditions)
a nd t he e xternal input.
Systems c an be classified in several ways:
1. Linear systems are characterized by the linearity property, which implies superposition; if several causes (such as various inputs a nd i nitial conditions) are
acting on a linear system, t he t otal effect (response) is t he s um of t he responses
from each cause, assuming t hat all t he remaining causes are absent. A system
is nonlinear if it is n ot linear. 2. T imeinvariant systems are characterized by t he fact t hat s ystem parameters
do not change with time. T he p arameters of timevarying p arameter s ystems
change with time. 3. For memoryless (or instantaneous) systems, t he s ystem response a t any i nstant
t d epends only on t he p resent value o f t he i nput (value a t t). For systems with
memory (also known as dynamic systems), t he s ystem response a t any instant t
d epends not only on t he p resent value of t he i nput, b ut also on t he p ast values
of t he i nput (values before t ). 4. In contrast, if a system response a t t also depends on t he f uture values of t he
i nput (values of i nput beyond t ), t he s ystem is noncausal. In causal systems,
t he response does n ot d epend on t he f uture values of t he i nput. Because of t he
dependence of t he response on t he f uture values of input, t he effect (response) 96 1 I ntroduction t o Signals a nd Systems of non causal systems occurs before cause. When t he i ndependent variable is
t ime ( temporal systems), the noncausal systems are prophetic systems, a nd
therefore, unrealizable, although close approximation is possible with some
time delay in t he response. Noncausal systems with independent variables
o ther t han t ime (e.g., space) are realizable.
5. I f t he d imensions of system elements are small compared t o t he wavelengths of
t he signals, we may assume t hat each element is lumped a t a single point in
space, and t he s ystem may be considered as a lumpedparameter system. T he
signals u nder t his assumption are functions of time only. I f t his assumption
does n ot...
View
Full
Document
This note was uploaded on 04/14/2013 for the course ENG 350 taught by Professor Bayliss during the Spring '13 term at Northwestern.
 Spring '13
 Bayliss
 Signal Processing, The Land

Click to edit the document details