leo lam © 2010-2012 signals and systems ee235. an e x and a constant were… …walking down the...
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Leo Lam © 2010-2012
Signals and SystemsEE235
Leo Lam © 2010-2012
An ex and a Constant were…
…walking down the street; when a Differentiator walked up to them.
Constant started running away, and ex asked him, “what are you doing?!”
Constant replied, “If I meet a Differentiator, I will disappear!”
ex said, proudly, “I don’t care, I am ex!”, and walked up to the Differentiator.
“Hi I am ex,” he said, thumbing his nose…“Hi,” said the Differentiator, “I’m d/dy.”
Leo Lam © 2010-2012
Today’s menu
• Textbook Chapter 1, Schaum’s Chapter 1• To do:
– Sign up to Facebook Group– Bookmark our website
• From yesterday: definitions• End of hand-waving• Describing Common Signals
– Type of signals– Some standard signals
• Periodicity
Leo Lam © 2010-2012
Signals:
• A signal is a mathematical function– x(t)– x is the value (real, complex) y-axis– t is the independent variable (1D, 2D etc.) x-axis– Both can be Continuous or Discrete– Examples of x…
Leo Lam © 2010-2012
Signal types
• Continuous time / Discrete time– An x-axis relationship
• Discrete time = “indexed” time
Leo Lam © 2010-2012
Signals: Notations
• A continuous time signal is specified at all values of time, when time is a real number.
( ),x t t R
Leo Lam © 2010-2012
Signals: Notations
• A discrete time signal is specified at only discrete values of time (e.g. only on integers)
[ ],x n nZ
Leo Lam © 2010-2012
What types are these?
1) 90.3 FM radio transmitted signal2) Daily count of orcas in Puget Sound3) Muscle contraction of your heart over time 4) A capacitor’s charge over time5) A picture taken by a digital camera6) Local news broadcast to your old TV7) Video on YouTube8) Your voice
(c)
((c))
(c)
(continuous)
(c)(d)
(d)
(discrete)
Leo Lam © 2010-2012
Analog / Digital values (y-axis)
• An analog signal has amplitude that can take any value in a continuous interval (all Real numbers)
[ ] ,x n R n Z
( ) ,x t R t R Where Z is a finite set of values
Leo Lam © 2010-2012
Analog / Digital values (y-axis)
• An digital signal has amplitude that can only take on only a discrete set of values (any arbitrary set).
Where Z and G are finite sets of values
( ) ,x t G t R
[ ] ,x n G n Z
Leo Lam © 2010-2012
Nature vs. Artificial
• Natural signals mostly analog• Computers/gadgets usually digital (today)• Signal can be continuous in time but discrete
in value (a continuous time, digital signal)
Leo Lam © 2010-2012
Brake!
• X-axis: continuous and discrete• Y-axis: continuous (analog) and discrete
(digital)• Our class: (mostly) Continuous time, analog
values (real and complex)• Clear so far?
Leo Lam © 2010-2012
Common signals (memorize)
• Building blocks to bigger things
constant signal
t
a ( )x t a
0
unit step signal
t
1
0
unit ramp signal
t
1
u(t)=0 for t<0u(t)=1 for t≥0
r(t)=0 for t<0r(t)=t for t≥0r(t)=t*u(t) for t≥0
t
dutr )()(
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Sinusoids/Decaying sinusoids
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Decaying and growing
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Generalizing the sinusoids
General form: x(t)=Ceat, a=σ+jω
Equivalently: x(t)=Ceσtejωt
Remember Euler’s Formula?
x(t)=Ceσtejωt
)sin()cos( tjte tj
amplitude
Exponential(3 types)
Sinusoidal with frequency ω (in radians)
What is the frequency in Hz?
Leo Lam © 2010-2012
Imaginary signals
zr
a
b
z=a+jb real/imaginaryz=rejΦ magnitude/phase
f
real
imag
Remember how to convert between the two?