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Leo Lam © 2010-2012
Signals and Systems
EE235Lecture 19
Leo Lam © 2010-2012
Today’s menu
• Fourier Series
Leo Lam © 2010-2012
Visualize dot product
3
• In general, for d-dimensional a and b
• For signals f(t) and x(t)
• For signals f(t) and x(t) to be orthogonal from t1 to t2
• For complex signals
Fancy word: What does it mean physically?
Leo Lam © 2010-2012
Orthogonal signal (example)
4
• Are x(t) and y(t) orthogonal?
Yes. Orthogonal over any timespan!
Leo Lam © 2010-2012
Orthogonal signal (example 2)
5
• Are a(t) and b(t) orthogonal in [0,2p]?• a(t)=cos(2t) and b(t)=cos(3t)• Do it…(2 minutes)
0)sin()5sin(5
1
2
1)cos()5cos(
2
1
))cos()(cos(2
1)cos()cos(
2
0
2
0
ttdttt
yxyxyx
Leo Lam © 2010-2012
Orthogonal signal (example 3)
6
• x(t) is some even function• y(t) is some odd function• Show a(t) and b(t) are orthogonal in [-1,1]?• Need to show:
• Equivalently:
• We know the property of odd function:
• And then?
Leo Lam © 2010-2012
Orthogonal signal (example 3)
7
• x(t) is some even function• y(t) is some odd function• Show x(t) and y(t) are orthogonal in [-1,1]?
• Change in variable v=-t• Then flip and negate: Same, QED
1-1
Leo Lam © 2010-2012
x1(t)
t
x2(t)
t
x3(t)
t
T
T
T
T/2
1 2
0
( ) ( ) 0T
x t x t dt
x1(t)x2(t)
tT
2 3
0
( ) ( ) 0T
x t x t dt
x2(t)x3(t)
tT
Orthogonal signals
Any special observation here?
Leo Lam © 2010-2012
Summary
• Intro to Fourier Series/Transform• Orthogonality• Periodic signals are orthogonal=building
blocks
Leo Lam © 2010-2012
Fourier Series
10
• Fourier Series/Transform: Build signals out of complex exponentials
• Established “orthogonality”• x(t) to X(jw)• Oppenheim Ch. 3.1-3.5• Schaum’s Ch. 5
Leo Lam © 2010-2012
Fourier Series: Orthogonality
11
• Vectors as a sum of orthogonal unit vectors• Signals as a sum of orthogonal unit signals
• How much of x and of y to add?
• x and y are orthonormal (orthogonal and normalized with unit of 1)
x
y a = 2x + y
of x
of ya
Leo Lam © 2010-2012
Fourier Series: Orthogonality in signals
12
• Signals as a sum of orthogonal unit signals• For a signal f(t) from t1 to t2
• Orthonormal set of signals x1(t), x2(t), x3(t) … xN(t)
of
of
of
Does it equal f(t)?
Leo Lam © 2010-2012
Fourier Series: Signal representation
13
• For a signal f(t) from t1 to t2
• Orthonormal set of signals x1(t), x2(t), x3(t) … xN(t)
• Let
• Error:
of
of
of
Leo Lam © 2010-2012
Fourier Series: Signal representation
14
• For a signal f(t) from t1 to t2
• Error:
• Let {xn} be a complete orthonormal basis • Then:
• Summation series is an approximation• Depends on the completeness of basis
Does it equal f(t)?
of
of
of Kind of!
Leo Lam © 2010-2012
Fourier Series: Parseval’s Theorem
15
• Compare to Pythagoras Theorem
• Parseval’s Theorem
• Generally:
c
a
b
Energy of vector Energy of
each oforthogonalbasis vectors
All xn are orthonormal vectors with energy = 1
Leo Lam © 2010-2012
Fourier Series: Orthonormal basis
16
• xn(t) – orthonormal basis:– Trigonometric functions (sinusoids)– Exponentials– Wavelets, Walsh, Bessel, Legendre etc...
Fourier Series functions