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Page 1: Lecture #1

meiling chen signals & systems 1

Lecture #1

Introduction to signals

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signals

• Electrical signals– Voltages and currents in a CKT

• Acoustic signals– Audio or speech signals

• Video signals– Intensity variations in an image

Signals are functions of independent variables that carry information.

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Independent variables

• Can be continuous

• Can be discrete

• Can be 1-dimension, 2-D, …N-D

For this course we focus on a signal 1-D independent variable which we called “time”Continuous time x(t) , t– continuous values Discrete time x[k], k– Integer values only

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Continuous time (CT) signal

Most of the signals in the physical world are CT signals—E.g. voltage & current, pressure, temperature, velocity, etc.

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Discrete time (DT) signal

Examples of DT signals in nature:• DNA base sequence• Population of the nth generation of certain species

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Sampling

Quantizing&

encoding

Continuous-time analog signal

Discrete-time analog signal

Discrete-time digital signal

0001

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Classification of signals

• Continuous-time and discrete-time signals

• Even and odd signals

• Periodic and nonperiodic signals

• Deterministic and random signals

Periodic signals )()( pTtftf

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Even signal

odd signal

)()( tftf

)()( tftf

t

t

)(tf

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Elementary signals

• Exponential signals

• Sinusoidal signals

• Step function

• Rectangular pulse

• Impulse function

• Derivatives of the impulse

• Ramp function

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Exponential signals

0,)( aBetx at0,)( aBetx at

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0,)sin()( tAetx t

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Step function

0,0

0,1)(

t

ttu

at

atatu

,0

,1)( t

1

a

Shift a

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Rectangular pulse

otherwise

tAtx

,0

5.05.0,)(

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Impulse function

00)(

1)(

tfort

dtt

t

)1()(t

Amplitude

width 0

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t

)1()(t

Derivatives of the impulse

t

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)(tr

)(tu

)(t

)(t

dt

d

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Ramp function

0,0

0,)(

t

tttr

tdutror

dt

tdrtu )()(

)()(

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simple operation

)(tf

)1()()()( trtrtutf

)(tu)1( tr

)(tr

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Basic operations on signals

• Operations performed on dependent variables– Amplitude scaling, Addition, Multiplication,

differentiation

• Operations performed on independent variables– Time scaling– Reflection– Time shifting

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Time scaling

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Reflection

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Time shifting

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Precedence rule for time shifting and time scaling

Example 1.5 find y(t)=x(2t+3)

)()0(

)()0(

)()(

abyx

bxy

batxty

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Precedence rule for discrete-time signal


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