1. A balance (10) for weighing blister packs (50) in the microgram weight range,
with a balance pan (12, 14) on which the at least one blister pack (50) to be weighed can be placed,
with a blister pack (50) made of chargeable material,
characterized in that
the balance pan (12, 14) is designed in such a way that field forces (70) caused by an electric field act practically exclusively on the balance pan (12, 14), which field can be generated by an electrically charged blister pack (50) lying on the balance pan.
2. The balance as claimed in claim 1,
characterized in that
a body (18) interacting with an electric field (70) emanating from the at least one blister pack (50) is secured as a load on the balance pan (12, 14).
3. The balance as claimed in one of the preceding claims,
characterized in that
the balance pan (12, 14) andor the body (18) is grounded.
4. The balance as claimed in one of the preceding claims,
characterized in that
the body is designed as a plate.
5. The balance as claimed in one of claims 1 through 3,
characterized in that
the body is designed as a cage (18), such that
the at least one blister pack (50) resting on the balance pan (12, 14) is present in the inside (34) of the cage (18).
6. The balance as claimed in claim 5,
characterized in that
the cage (18) has an opening through which the at least one blister pack (50) to be weighed can be guided into the cage (18) and can be removed again from the cage (18).
7. The balance as claimed in one of claims 4 through 6,
characterized in that
the plate or the walls of the cage (18) have material cutouts (80).
8. The balance as claimed in claim 7,
characterized in that
the plate or the walls of the cage (18) are made of perforated sheet metal or wire lattice.
9. The balance as claimed in one of the preceding claims,
characterized in that
the balance pan (12, 14) has a three-point support (12) for the at least one blister pack (50) to be weighed.
10. The balance as claimed in claim 9,
characterized in that
the three legs (12.1, 12.2, 12.3) of the three-point support (12) are guided through cutouts (22, 24, 26) in the bottom plate (20) of the cage (18).
11. The balance as claimed in one of the preceding claims,
characterized in that
the body, in particular the cage (18), has a three-point support for the at least one blister pack (50) to be weighed.
12. The balance as claimed in claim 11,
characterized in that
the three legs of the three-point support are raised parts of the bottom plate (20) of the cage.
13. The balance as claimed in one of the preceding claims,
characterized in that
a windproof housing (82) is provided at least for the area of the balance pan (12, 14), such that
this housing (82) acts as a wind protection for the at least one blister pack (50) lying on the balance pan.
14. The balance as claimed in claim 13,
characterized in that
the windproof housing is electrically conductive and is grounded.
15. The balance as claimed in claim 14,
characterized in that
the windproof housing (82) is made of grounded metal or of glass metallized to be electrically conductive.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method for finding an optimized filter parameters design for a digital IF programmable downconverter, comprises the following steps:
(1) receiving an input specification, said input specification comprising an input signal sampling rate, an input data rate, an oversampling factor R, an available number of Halfband decimation filters, a passband frequency, a stopband frequency, a passband ripple, a stopband attenuation and a optimal filter parameter satisfying said input specification;
(2) determining if said oversampling factor R is equal to 1;
(3) obtaining an largest available number nHB of Halfband decimation filters and setting an initial value of nHB equal to a total of Halfband decimation filters;
(4) obtaining an largest available first number of Halfband decimation filters satisfying said input specification and determining if re-sampling FIR filter is necessary;
(5) obtaining an optimized combination of Halfband decimation filters satisfying said input specification;
(6) obtaining a total n of window function for designing filters;
(7) obtaining a window function index j and setting said windows function index to 1; and
(8) obtaining a programmable FIR filter satisfying said input specification.
2. The method of claim 1, wherein the step (4) further comprises the following steps:
A: estimating a decimation factor M based on said largest available number nHB of Halfband decimation filters and obtaining a minimum decimation factor MCIC,min of CIC decimation filter;
B: determining if said minimum decimation factor MCIC,min of CIC decimation filter is equal to said decimation factor M; and
C: obtaining a decimation factor threshold MV of CIC decimation filter and determining if said minimum decimation factor MCIC,min of CIC decimation filter is larger or equal to said decimation factor threshold MV of CIC decimation filter.
3. The method of claim 2, wherein in step C if MCIC,min is less than MV, subtracting 1 from said largest available number nHB of Halfband decimation filters and determining if said nHB is larger or equal to O.
4. The method of claim 2, wherein said decimation factor M obtained from said largest available number nHB of Halfband decimation filters is further obtained by dividing said input signal sampling rate by twice said input data rate, then divided by a decimation factor MnHB of Halfband decimation filter having said largest available number nHB, wherein MnHB=2nHB.
5. The method of claim 2, wherein said minimum decimation factor MCIC,min of CIC decimation filter is less than or equal to a positive integer of said decimation factor M obtained from said largest available number nHB of Halfband decimation filter.
6. The method of claim 1, wherein the step (5) further comprises the following steps:
A: estimating a decimation factor M1 based on a combination number nHB,i of Halfband decimation filters having a priority index i and obtaining a decimation factor MCIC of CIC decimation filter;
B: obtaining a combination threshold MORF of Halfband decimation filters having said priority index i; and
C: determining if said decimation factor MCIC of CIC decimation filter is larger or equal to said combination threshold MORF of Halfband decimation filters having said priority index i.
7. The method of claim 6, wherein if step C is true, then determining if said decimation factor MCIC of CIC decimation filter is equal to said decimation factor M1.
8. The method of claim 6, wherein said decimation factor M1 obtained from said combination number nHB,i of Halfband decimation filters having a priority index I is further obtained from dividing said input signal sampling rate by twice said input data rate, then divided by said decimation factor MnHB,i of Halfband decimation filter having said combination number nHB,i of Halfband decimation filters and said priority index i, wherein MnHB,i=2nHB,i.
9. The method of claim 6, wherein said decimation factor MCIC is less than or equal to a largest positive integer of said decimation factor M1 obtained from said combination number nHB,i of Halfband decimation filter having said priority index i.
10. The method of claim 1, wherein the step (8) generating a coefficient of said programmable FIR filter based on said window function of window function index j and determining if a synthesized frequency response of said digital IF programmable down-converter satisfying said input specification.
11. The method of claim 10, wherein if said synthesized frequency response is not satisfying said input specification, add 1 to said window function index j and determine if said window function index j is greater than said total n of window function.
12. A method for finding an optimized filter parameters design for a digital IF programmable downconverter, comprises the following steps:
(1) receiving an input specification, said input specification comprising an input signal sampling rate, an input data rate, an oversampling factor R, an available number of Halfband decimation filters, a passband frequency, a stopband frequency, a passband ripple, a stopband attenuation and a optimal filter parameter satisfying said input specification;
(2) determining if said oversampling factor R is equal to 1;
(3) obtaining an largest available number nHB of Halfband decimation filters and setting an initial value of nHB equal to a total of Halfband decimation filters;
(4) obtaining an largest available first number of Halfband decimation filters satisfying said input specification and determining if re-sampling FIR filter is necessary;
(5) obtaining an optimized combination of Halfband decimation filters satisfying said input specification;
(6) obtaining a total n of window function for designing filters;
(7) obtaining a window function index j and setting said windows function index to 1; and
(8) obtaining a programmable FIR filter satisfying said input specification; wherein the step (4) further comprises the following steps:
A: estimating a decimation factor M based on said largest available number nHB of Halfband decimation filters and obtaining a minimum decimation factor MCIC,min of CIC decimation filter;
B: determining if said minimum decimation factor MCIC,min of CIC decimation filter is equal to said decimation factor M; and
C: obtaining a decimation factor threshold MV of CIC decimation filter and determining if said minimum decimation factor MCIC,min of CIC decimation filter is larger or equal to said decimation factor threshold MV of CIC decimation filter; wherein the obtaining said decimation factor threshold MV of CIC decimation filter step further comprises the following steps:
(1) obtaining a total clock cycle CLKR of re-sampling FIR filters and Halfband interpolation filters based on an existing index q and a oversampling factor R, wherein
COKR=CLKres\xd7q+NL
(2) obtaining a threshold CLKTH of re-sampling FIR filters and Halfband interpolation filters by dividing said total clock cycle CLKR of re-sampling FIR filters and Halfband interpolation filters by said decimation factor MnHB of Halfband decimation filter having said largest available number nHB;
(3) estimating a minimum clock cycle CLKnHB,min of all combinations of Halfband decimation filter having said largest available number nHB by:
CLKnHB
,
mm
=
{
\u2211
i
=
1
nHB
\u2062
\u2062
(
TDi
–
3
4
+
2
)
2
i
\u2062
\u2062
1
,
nHB
>
0
1
,
\u2062
nHB
=
0
;
\u2062
(4) obtaining said decimation factor threshold MV of CIC decimation filter by determining a maximum between said threshold CLKTH of re-sampling FIR filters and Halfhand interpolation filters and said minimum clock cycle CLKnHB,min of all combinations of Halfband decimation filter having said largest available number nHB.
13. A method for finding an optimized filter parameters design for a digital IF programmable downconverter, comprises the following steps:
(1) receiving an input specification, said input specification comprising an input signal sampling rate, an input data rate, an oversampling factor R, an available number of Halfband decimation filters, a passband frequency, a stopband frequency, a passband ripple, a stopband attenuation and a optimal filter parameter satisfying said input specification;
(2) determining if said oversampling factor R is equal to 1;
(3) obtaining an largest available number nHB of Halfband decimation filters and setting an initial value of nHB equal to a total of Halfband decimation filters;
(4) obtaining an largest available first number of Halfband decimation filters satisfying said input specification and determining if re-sampling FIR filter is necessary;
(5) obtaining an optimized combination of Halfband decimation filters satisfying said input specification;
(6) obtaining a total n of window function for designing filters;
(7) obtaining a window function index j and setting said windows function index to 1; and
(8) obtaining a programmable FIR filter satisfying said input specification; wherein the step (5) further comprises the following steps:
A: estimating a decimation factor M1 based on a combination number nHB,i of Halfband decimation filters having a priority index i and obtaining a decimation factor MCIC of CIC decimation filter;
B: obtaining a combination threshold MORF of Halfband decimation filters having said priority index i; and
C: determining if said decimation factor MCIC of CIC decimation filter is larger or equal to said combination threshold MORF of Halfband decimation filters having said priority index i; wherein said combination threshold MORF of Halfband decimation filters having said priority index i is an overclock rate factor of said combinations of Halfband decimation filters having priority index i, said MORF is obtained by:
M
ORF
=
\u2211
i
=
k
1
\u2062
\u2062
(
HBDFi
)
\u2062
2
\u2211
j
=
k
1
\u2062
\u2062
HBDFj
\u2062
(
TD
i
–
3
4
+
2
)
2
nHB
,
1