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LQFP64 Datasheet(PDF) 84 Page - STMicroelectronics

Part # LQFP64
Description  Up to 60 DMIPs operation
PDF  116 Pages
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Manufacturer  STMICROELECTRONICS [STMicroelectronics]
Direct Link  http://www.st.com
Logo STMICROELECTRONICS - STMicroelectronics

LQFP64 Datasheet(HTML) 84 Page - STMicroelectronics

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Package pinouts and signal descriptions
SPC560B40x/50x, SPC560C40x/50x
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DocID14619 Rev 13
Equation 7
2.
A second charge transfer involves also CF (that is typically bigger than the on-chip
capacitance) through the resistance RL: again considering the worst case in which CP2
and CS were in parallel to CP1 (since the time constant in reality would be faster), the
time constant is:
Equation 8
In this case, the time constant depends on the external circuit: in particular imposing
that the transient is completed well before the end of sampling time ts, a constraints on
RL sizing is obtained:
Equation 9
Of course, RL shall be sized also according to the current limitation constraints, in
combination with RS (source impedance) and RF (filter resistance). Being CF
definitively bigger than CP1, CP2 and CS, then the final voltage VA2 (at the end of the
charge transfer transient) will be much higher than VA1. Equation 10 must be respected
(charge balance assuming now CS already charged at VA1):
Equation 10
The two transients above are not influenced by the voltage source that, due to the presence
of the RFCF filter, is not able to provide the extra charge to compensate the voltage drop on
CS with respect to the ideal source VA; the time constant RFCF of the filter is very high with
respect to the sampling time (ts). The filter is typically designed to act as anti-aliasing.
Figure 22. Spectral representation of input signal
V
A1
C
S
C
P1
C
P2
++

V
A
C
P1
C
P2
+

=
2
R
L
C
S
C
P1
C
P2
++

8.5
2
8.5
R
L
C
S
C
P1
C
P2
++

=
t
s
V
A2
C
S
C
P1
C
P2
C
F
++
+

V
A
C
F
V
A1
+C
P1
C
P2
+C
S
+

=
f0
f
Analog source bandwidth (VA)
f0
f
Sampled signal spectrum (fC = conversion rate)
fC
f
Anti-aliasing filter (fF = RC filter pole)
fF
2 f0 < fC (Nyquist)
fF = f0 (anti-aliasing filtering condition)
tc < 2 RFCF (conversion rate vs. filter pole)
Noise



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