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good book 2nd part of signal and system
Typology: Thesis
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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.
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.
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 )
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
3. The continuous-time unit step function.
3. The definition of the unit impulse as the derivative of the^ unit step.
A--
Signals and Systems: Part II 3-
Definition of a system.
x (t )
x (t)
x[n]
x[n]
Continuous -time system
10y (t )
y [n]
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
Illustration of (^) an unstable system.
~)C.h1hpk (^) C-.. 4 OTr
__j
MIT OpenCourseWare http://ocw.mit.edu
Resource: Signals and Systems Professor Alan V. Oppenheim
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