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3_oversampling.tex
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Sat, Mar 15, 04:08 (2 d)
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3_oversampling.tex
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\documentclass
[aspectratio=169]
{
beamer
}
\def\stylepath
{
../styles
}
\usepackage
{
\stylepath
/com303
}
\begin
{
document
}
\begin
{
comment
}
\begin
{
frame
}
\frametitle
{
1bps oversampling
}
\begin
{
figure
}
\center
%\small
\begin
{
dspBlocks
}{
.4
}{
0.3
}
$
x
[
n
]
$
~~
&
\BDfilterMulti
{
$
K
$
-times
\\
oversampling
}
&
&
\BDfilterMulti
{
$
1
$
-bit
\\
quantizer
}
&
&
\BDfilter
{
D/A
}
&
~~
$
x_c
(
t
)
$
\\
$
R
$
bps,
$
F_s
$
&
&
$
R
$
bps,
$
KF_s
$
&
&
$
1
$
bps,
$
KF_s
$
\psset
{
linewidth=1.5pt
}
\ncline
{
-
}{
1,1
}{
1,2
}
\ncline
{
->
}{
1,2
}{
1,4
}
\taput
{
$
~~~~~x_{K}
[
n
]
$
}
\ncline
[linestyle=dashed]
{
->
}{
1,4
}{
1,6
}
\taput
{
$
~~~~~
\hat
{x}_{
\mathrm
{
1
B}}
[
n
]
$
}
\ncline
{
->
}{
1,6
}{
1,7
}
\end
{
dspBlocks
}
\end
{
figure
}
\end
{
frame
}
\newcommand
{
\BDthreshold
}
[1][0.53em]
{
%
\newskip\tmpLen
\tmpLen
=#1
%
\raisebox
{
-1.5
\tmpLen
}{
%
\psframebox
[linewidth=\BDwidth]
{
%
\psset
{
unit=#1,linearc=0,linewidth=1.5pt
}
%
\pspicture
(-3.1,-2)(3,2)
%
\psline
[linewidth=0.5pt]
{
-
}
(-2,0)(2,0)
%
\psline
{
-
}
(-1.5,-1.6)(0,-1.6)(0,1.6)(1.5,1.6)
\endpspicture
}}}
\begin
{
frame
}
\frametitle
{
1st order sigma delta
}
\begin
{
figure
}
\center
%\small
\begin
{
dspBlocks
}{
1
}{
1.3
}
$
x_K
[
n
]
$
~~
&
\BDadd
&
\BDfilter
{
$
H
(
z
)
$
}
&
\BDthreshold
&
\BDsplit
&
~
$
~~
\hat
{x}_{
\mathrm
{
1
B}}
[
n
]
$
\\
~
&
&
&
&
\psset
{
linewidth=1.5pt
}
\ncline
{
->
}{
1,1
}{
1,2
}
\ncline
{
->
}{
1,2
}{
1,3
}
\ncline
{
->
}{
1,3
}{
1,4
}
\ncline
{
-
}{
1,4
}{
1,5
}
\ncline
{
->
}{
1,5
}{
1,6
}
\ncline
{
-
}{
1,5
}{
2,5
}
\ncline
{
-
}{
2,5
}{
2,2
}
\ncline
{
->
}{
2,2
}{
1,2
}
\tlput
{
$
-
1
$
}
\end
{
dspBlocks
}
\end
{
figure
}
\end
{
frame
}
\begin
{
frame
}
\frametitle
{
linearized sigma delta
}
\begin
{
figure
}
\center
%\small
\begin
{
dspBlocks
}{
1
}{
1
}
&
&
&
$
e
[
k
]
$
\\
$
x_K
[
n
]
$
~~
&
\BDadd
&
\BDfilter
{
$
H
(
z
)
$
}
&
\BDadd
&
\BDsplit
&
~
$
~~
\hat
{x}_{
\mathrm
{
1
B}}
[
n
]
$
\\
~
&
&
&
&
\psset
{
linewidth=1.5pt
}
\ncline
{
->
}{
2,1
}{
2,2
}
\ncline
{
->
}{
2,2
}{
2,3
}
\ncline
{
->
}{
2,3
}{
2,4
}
\ncline
{
-
}{
2,4
}{
2,5
}
\ncline
{
->
}{
2,5
}{
2,6
}
\ncline
{
-
}{
2,5
}{
3,5
}
\ncline
{
-
}{
3,5
}{
3,2
}
\ncline
{
->
}{
3,2
}{
2,2
}
\tlput
{
$
-
1
$
}
\ncline
{
->
}{
1,4
}{
2,4
}
\end
{
dspBlocks
}
\end
{
figure
}
\end
{
frame
}
\begin
{
frame
}
\frametitle
{
2nd order sigma delta
}
\begin
{
figure
}
\center
%\small
\begin
{
dspBlocks
}{
0.7
}{
1.3
}
$
x_K
[
n
]
$
~~
&
\BDadd
&
\BDfilter
{
$
H
(
z
)
$
}
&
\BDadd
&
\BDfilter
{
$
H
(
z
)
$
}
&
\BDthreshold
&
\BDsplit
&
~
$
\hat
{x}_{
\mathrm
{
1
B}}
[
n
]
$
\\
~
&
&
&
\BDsplit
&
&
&
&
\psset
{
linewidth=1.5pt
}
\ncline
{
->
}{
1,1
}{
1,2
}
\ncline
{
->
}{
1,2
}{
1,3
}
\ncline
{
->
}{
1,3
}{
1,4
}
\ncline
{
->
}{
1,4
}{
1,5
}
\ncline
{
->
}{
1,5
}{
1,6
}
\ncline
{
->
}{
1,6
}{
1,8
}
\ncline
{
-
}{
1,7
}{
2,7
}
\ncline
{
-
}{
2,7
}{
2,2
}
\ncline
{
->
}{
2,2
}{
1,2
}
\tlput
{
$
-
1
$
}
\ncline
{
->
}{
2,4
}{
1,4
}
\tlput
{
$
-
1
$
}
\end
{
dspBlocks
}
\end
{
figure
}
\end
{
frame
}
\begin
{
frame
}
\frametitle
{
Basic setup
}
\setbeamercovered
{
invisible
}
\begin
{
figure
}
[t]
\center
%\small
\begin
{
dspBlocks
}{
1.5
}{
0.3
}
$
x_c
(
t
)
$
~~
&
\BDsamplerFramed
[0.5em]
&
\BDfilter
{
$
H
(
z
)
$
}
&
\BDsinc
[0.5em]
&
~~
$
y_c
(
t
)
$
\\
&
$
T_s
$
&
&
$
T_s
$
\\
\psset
{
linewidth=1.5pt
}
\ncline
{
-
}{
1,1
}{
1,2
}
\ncline
{
->
}{
1,2
}{
1,3
}
\only
<4->
{
\taput
{
$
x
[
n
]
$
}}
\ncline
{
->
}{
1,3
}{
1,4
}
\only
<5->
{
\taput
{
$
y
[
n
]
$
}}
\ncline
{
->
}{
1,4
}{
1,5
}
\only
<2->
{
\psset
{
unit=1em
}
%\psgrid(40,20)
\psframe
[linecolor=darkred,framearc=.3,linestyle=dashed]
(4,0.5)(27,8)
\dspText
(27.5,0.5)
{
\color
{
darkred
}
~
$
H_c
(
j
\Omega
)
$
}}
\end
{
dspBlocks
}
\end
{
figure
}
\vspace
{
2em
}
\uncover
<3->
{
assume
$
x_c
(
t
)
$
is
$
\Omega
_N
$
-bandlimited:
\begin
{
itemize
}
\item
<4->
$
X
(
e^{j
\omega
}
)
=
\frac
{
1
}{T_s}X_c
\left
(
j
\frac
{
\omega
}{T_s}
\right
)
$
\item
<5->
$
Y
(
e^{j
\omega
}
)
=
X
(
e^{j
\omega
}
)
\,
H
(
e^{j
\omega
}
)
$
\item
<6->
$
Y_c
(
j
\Omega
)
=
T_s
\,
Y
(
e^{j
\Omega
T_s}
)
$
\end
{
itemize
}}
\end
{
frame
}
\end
{
document
}
\end
{
comment
}
\begin
{
frame
}
\frametitle
{
Oversampling
}
\begin
{
itemize
}
\item
oversampled D/A
\begin
{
itemize
}
\item
use cheaper hardware for interpolation
\end
{
itemize
}
\vspace
{
2em
}
\item
oversampled A/D
\begin
{
itemize
}
\item
reduce quantization error
\end
{
itemize
}
\end
{
itemize
}
\end
{
frame
}
\begin
{
frame
}
\frametitle
{
Oversampled A/D
}
\begin
{
figure
}
\begin
{
dspBlocks
}{
0.7
}{
0.2
}
$
x
(
t
)
$
~
&
\BDsampler
&
\BDfilter
{
$
\mathcal
{Q}
\{\cdot\}
$
}
&
~
$
\hat
{x}
[
n
]
$
\\
&
$
T_s
=
1
/
F_s
$
\psset
{
linewidth=1.5pt
}
\ncline
{
-
}{
1,1
}{
1,2
}
\ncline
{
1,2
}{
1,3
}
\ncline
{
->
}{
1,3
}{
1,4
}
\end
{
dspBlocks
}
\end
{
figure
}
\vspace
{
2em
}
\[
\hat
{x}
[
n
]
=
x
[
n
]
+
e
[
n
]
\]
\end
{
frame
}
\begin
{
frame
}
\frametitle
{
Oversampled A/D
}
Key assumptions:
\[
e
[
n
]
\mbox
{~i.i.d. process, {
\color
{darkred} independent of $x
[
n
]
$}}
\]
\[
P_e
(
e^{j
\omega
}
)
=
\frac
{
\Delta
^
2
}{
12
}
\qquad
\mbox
{over $
[-
\pi
,
\pi
]
$}
\]
\vspace
{
1em
}
\pause
Key observation:
\centering
sampled signal has spectral support shrinking with
$
F_s
$
\vspace
{
1ex
}
\[
X
(
e^{j
\omega
}
)
=
F_s
\,
X
\left
(
\frac
{
\omega
}{
2
\pi
}F_s
\right
)
\]
\end
{
frame
}
\begin
{
frame
}
\frametitle
{
Oversampled A/D
}
\begin
{
figure
}
\begin
{
dspPlot
}
[xtype=freq,xticks=4]
{
-1,1
}{
0,4.1
}
\moocStyle
\psset
{
linecolor=blue!80
}
\psline
[linewidth=2pt,linecolor=gray]
(-1,0.4)(1,0.4)
\psframe
[linewidth=0pt,fillstyle=vlines,hatchcolor=gray]
(-1,0.4)(1,0)
\only
<1|handout:1>
{
\dspFunc
{
x
\dspPorkpie
{
0
}{
1
}
1.5 mul
}
\dspText
(0.5,3)
{
$
F_s
=
2
f_{
\max
}
$
}}
\only
<2|handout:2>
{
\dspFunc
{
x
\dspPorkpie
{
0
}{
.5
}
2 mul
}
\dspText
(0.5,3)
{
$
F_s
=
4
f_{
\max
}
$
}}
\only
<3|handout:3>
{
\dspFunc
{
x
\dspPorkpie
{
0
}{
.333333
}
3 mul
}
\dspText
(0.5,3)
{
$
F_s
=
6
f_{
\max
}
$
}}
\only
<4-|handout:4->
{
\dspFunc
{
x
\dspPorkpie
{
0
}{
.25
}
4 mul
}
\dspText
(0.5,3)
{
$
F_s
=
8
f_{
\max
}
$
}}
\only
<5-|handout:5->
{
\dspFunc
[linecolor=green,linestyle=dashed]
{
x
\dspRect
{
0
}{
0.5
}
}
}
\end
{
dspPlot
}
\end
{
figure
}
\end
{
frame
}
\begin
{
frame
}
\frametitle
{
Oversampled A/D
}
\begin
{
figure
}
\begin
{
dspPlot
}
[xtype=freq,xticks=4]
{
-1,1
}{
0,4.1
}
\moocStyle
\psset
{
linecolor=blue!80
}
\psline
[linewidth=2pt,linecolor=gray]
(-1,0.1)(1,0.1)
\psframe
[linewidth=0pt,fillstyle=vlines,hatchcolor=gray]
(-1,0.1)(1,0)
\dspFunc
{
x
\dspPorkpie
{
0
}{
1
}
1.5 mul
}
\dspText
(-.5,3)
{
after downsampling by 4:
}
\end
{
dspPlot
}
\end
{
figure
}
\end
{
frame
}
\begin
{
frame
}
\frametitle
{
Oversampled A/D
}
\begin
{
figure
}
\begin
{
dspBlocks
}{
0.7
}{
0.2
}
$
x
(
t
)
$
~
&
\BDsampler
&
\BDfilter
{
$
\mathcal
{Q}
\{\cdot\}
$
}
&
\BDfilter
{
LP
$
\{\pi
/
N
\}
$
}
&
\BDdwsmp
{
$
N
$
}
&
$
x
[
n
]
$
\\
&
$
T_s
=
1
/(
2
Nf_{
\max
}
)
$
\psset
{
linewidth=1.5pt
}
\ncline
{
-
}{
1,1
}{
1,2
}
\ncline
{
1,2
}{
1,3
}
\ncline
{
1,3
}{
1,4
}
\ncline
{
1,4
}{
1,5
}
\ncline
{
->
}{
1,5
}{
1,6
}
\end
{
dspBlocks
}
\end
{
figure
}
\vspace
{
1em
}
\begin
{
itemize
}
\item
$
\mbox
{SNR}_{O}
\approx
N
\,\mbox
{SNR}
$
\item
3dB per octave (doubling of
$
F_s
$
)
\item
but key assumption (independence) breaks down fast...
\end
{
itemize
}
\end
{
frame
}
\end
{
document
}
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