1. A signal evaluating device comprising:
a binarizing device binarizing an input signal;
a run length measuring device measuring a run length of a sign when there is a change in the sign that is the result of binarization of the input signal during an evaluating interval, using an output of the binarizing device as input; and
an evaluating device calculating, from a measurement results of the run length measuring device, a distribution wherein a noise frequency distribution included in the input signal during the evaluating interval is assumed to be a geometric distribution, and evaluating whether or not the input signal is valid through comparing the calculated distribution to the run length distribution obtained from the measurement results by the run length measuring device.
2. A signal evaluating device comprising:
a binarizing device binarizing an input signal;
a run length measuring device measuring a run length of a sign when there is a change in the sign that is the result of binarization of the input signal during an evaluating interval, using an output of the binarizing device as input; and
an evaluating device calculating, from a measurement results of the run length measuring device, a distribution wherein a noise frequency distribution included in the input signal during the evaluating interval is assumed to be a geometric distribution, and evaluating whether or not the input signal is valid from a proportion of a total frequency of noise, obtained from the calculated distribution, and a total frequency that is the number of run lengths in the evaluating interval,
3. A signal evaluating device comprising:
a binarizing device binarizing an input signal;
a run length measuring device measuring a run length of a sign when there is a change in the sign that is the result of binarization of the input signal during an evaluating interval, using an output of the binarizing device as input; and
an evaluating device calculating, from measurement results of the run length measuring device, a distribution wherein a noise frequency distribution included in the input signal during the evaluating interval is assumed to be a geometric distribution, and evaluating whether or not the input signal is valid from a proportion of a total frequency of noise, obtained from the calculated distribution, and a frequency of signals calculated from a total frequency that is a number of run lengths in the evaluating interval and from the total frequency of the noise.
4. The signal evaluating device as set forth in claim 3, wherein:
the evaluating device calculates, for each class, an absolute value of a difference between the noise frequency and the run length frequency during the evaluating interval, and defines the sum of the calculated values to be the frequency of the signals.
5. The signal evaluating device as set forth in claim 3, wherein:
the evaluating device uses, as the signal frequency, a sum of only those frequencies that are greater than the noise frequencies for specific classes, from among the run length frequencies for each of the classes during the evaluating interval.
6. The signal evaluating device as set forth in claim 1, wherein:
the evaluating device calculates a noise frequency distribution from a class 1 frequency obtained from the measurement result by the run length measuring device.
7. A signal evaluating method comprising the steps of:
binarizing an input signal;
measuring a run length of a sign when there is a. change in the sign that is the result of binarization of the input signal during an evaluating interval, using an output of the binarizing step as input; and
calculating, from measurement results of the run length measuring step, a distribution wherein a noise frequency distribution included in the input signal during the evaluating interval is assumed to be a geometric distribution, and evaluating whether or not the input signal is valid through comparing the calculated distribution to the run length distribution obtained from the measurement results by the run length measuring step.
8. A signal evaluating method comprising the steps of:
binarizing an input signal;
measuring a run length of a sign when there is a. change in the sign that is the result of binarization of the input signal during an evaluating interval, using an output of the binarizing step as input; and
calculating, from measurement results of the run length measuring step, a distribution wherein a noise frequency distribution included in the input signal during an evaluating interval is assumed to be a geometric distribution, and evaluating whether or not the input signal is valid from a proportion of a total frequency of noise, obtained from the calculated distribution, and a total frequency that is a. number of run lengths in the evaluating interval.
9. A signal evaluating method comprising the steps of:
binarizing an input signal;
measuring a run length of a sign when there is a change in the sign that is the result of binarization of the input signal during an evaluating interval, using an output of the binarizing step as input; and
calculating, from measurement results of the run length measuring step, a distribution wherein a noise frequency distribution included in the input signal during the evaluating interval is assumed to be a geometric distribution, and evaluating whether or not the input signal is valid from a proportion of a total frequency of the noise, obtained from the calculated distribution, and a frequency of the signals calculated from a total frequency that is a number of run lengths in the evaluating interval and from a total frequency of the noise.
10. The signal evaluating method as set forth in claim 9, wherein:
the calculating step calculates, for each class, an absolute value of a difference between the noise frequency and the run length frequency during the evaluating interval, and defines a sum of the calculated values to be the frequency of the signals.
11. The signal evaluating method as set forth in claim 9, wherein:
the calculating step using, as the signal frequency, a sum of only those frequencies that are greater than the noise frequencies for specific classes, from among the run length frequencies for each class during the evaluating interval.
12. The signal evaluating method as set forth in claim 7, wherein:
the calculating step calculates a noise frequency distribution from the class frequency obtained from a measurement result by the run length measuring step.
13. The signal evaluating device as set forth in claim 2, wherein:
the evaluating device calculates a noise frequency distribution from a class 1 frequency obtained from the measurement result by the run length measuring device.
14. The signal evaluating device as set forth in claim 3, wherein:
the evaluating device calculates a noise frequency distribution from a class 1 frequency obtained from the measurement result by the run length measuring device.
15. The signal evaluating method as set forth in claim 8, wherein:
the calculating step calculates a noise frequency distribution from the class frequency obtained from a measurement result by the run length measuring step.
16. The signal evaluating method as set forth in claim 9, wherein:
the calculating step calculates a noise frequency distribution from the class frequency obtained from a measurement result by the run length measuring step.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
We claim:
1. A compound of the formula (I)
7
in which
R1 represents methyl or ethyl, and
A-B represents one of the following groups: HCCH, HCC(CH3), H2CCH2, H2CCH(CH3).
2. A compound as claimed in claim 1, characterized in that
R1 represents ethyl.
3. A compound as claimed in claim 1 or 2, characterized in that
A-B represents the group HCCH.
4. A process for the preparation of compounds as claimed in any of claims 1 to 3, characterized in that compounds of the general formula (II)
8
in which
R1 and A-B have the meanings given in any of claims 1 to 3,
are reacted with an oxidant, if appropriate in the presence of a diluent.
5. A process as claimed in claim 4, characterized in that the oxidant employed is pyridium dichromate or N-halosuccinimides in the presence of dimethyl sulfide.
6. A process as claimed in claim 4 or 5, characterized in that the diluent employed is dichloromethane.
7. A process for the production of compounds as claimed in any of claims 1 to 3, characterized in that compounds of the general formula (II)
9
in which
R1 and A-B have the meanings given in any of claims 1 to 3,
are brought into contact with a microorganism in an aqueous nutrient medium under aerobic conditions or with an enzyme extract prepared therefrom or with one or more enzymes isolated therefrom.
8. A process as claimed in claim 7, characterized in that the microorganism employed is a microorganism from the genus Bacillus, from the group of the Actinomycetes or from the class of the Zygomycetes.
9. A process as claimed in claim 8, characterized in that a strain of the species Bacillus megaterium or Bacillus simplex is employed.
10. A process as claimed in claim 9, characterized in that the strain has the characterizing traits of the strains Bacillus megaterium DSM 339, Bacillus megaterium DSM 333 or Bacillus simplex DSM 14028.
11. A process as claimed in claim 8, characterized in that a microorganism from the genus Streptomyces is employed as microorganism from the group of the Actinomycetes.
12. A process as claimed in claim 11, characterized in that a strain from the species Streptomyces argillaceus, Streptomyces scabies, Streptomyces mirabilis or Streptomyces pseudovenecuelae is employed as microorganism from the genus Streptomyces.
13. A process as claimed in claim 12, characterized in that the strain has the characterizing traits of the strains Streptomyces argillaceus DSM 14030, Streptomyces scabies DSM 14029, Streptomyces mirabilis DSM 14078 or Streptomyces pseudovenecuelae DSM 14079.
14. A process as claimed in claim 8, characterized in that a microorganism from the genus Zygorhynchus, in particular a strain from the species Zygorhynchus moelleri, is employed as microorganism from the class of the Zygomycetes.
15. A process as claimed in claim 14, characterized in that the strain has the characterizing traits of the strain Zygorhynchus moelleri DSM 14198.
16. A process as claimed in claim 8, characterized in that a microorganism from the genus Mucor, in particular a strain from the species Mucor circinelloides, is employed as microorganism from the class of the Zygomycetes.
17. A process as claimed in claim 16, characterized in that the strain has the characterizing trait of the strain Mucor circinelloides DSM 14199.
18. A process as claimed in any of claims 4 to 17, characterized in that the compounds as claimed in any of claims 1 to 3 are isolated.
19. The use of compounds as claimed in any of claims 1 to 3 for the preparation of Spinosyn derivatives.