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| File Information |
| Description |
In NLNN one of 1024 combinations are 10 bit in input.
In NLNN2 one of 1024 combinations are 2 input, the first in the range 1-256 and the second in the range 1-4.
The range 1-4 in NLNN2 is coinciding with 2 bit of NLNN and the range 1-256 in NLNN2 is coinciding with 8 bit of NLNN.
In both cases with one input is all obtained, the output is showed, and it is static or dynamic.
The range 1-2 in NLNN2 is coinciding with 1 bit of NLNN and the range 1-256 in NLNN2 is coinciding with 8 bit of NLNN.
The range 1-2 in NLNN2 is coinciding with 1 bit of NLNN and it is the input of all.
512 combinations of NLNN2 are 9 bit of NLNN.
512 combinations of NLNN2 are 256 combinations 2 times.
256 combinations 2 times of NLNN2 are 9 bit of NLNN.
256 combinations of NLNN2 are 8 bit of NLNN and 256 combinations of NLNN2 are 1 bit of NLNN.
To choose the record of NLNN2 are 8 bit of NLNN and 256 combinations of NLNN2 are the bit of all of NLNN.
The static way of NLNN2 are 512 combinations and the bit of all in NLNN is half static way.
The dynamic way of NLNN2 are 512 combinations and the bit of all in NLNN is half dynamic way.
1024 combinations of NLNN2 are the zero and the unity of NLNN and this is the decision global way.
1023 combinations of NLNN2 are the zero of NLNN and this is the not selected spacetime.
One combination of NLNN2 is the unity of NLNN and this is the decision.
Scheme:
NLNN2 .. 1 of 4 and 1 of 256 are 1 of 1024 and are 1023 not selected spacetime and are 2 input
NLNN .. 1 of 2 per 10 times are 1 of 1024 and are 1023 not selected spacetime and are 10 input
And so:
NLNN2 .. the selection and 1 of 512 are 1 of 1024 and are 1023 not selected spacetime and are 2 input
NLNN .. the selection and 1 of 2 per 9 times are 1 of 1024 and are 1023 not selected spacetime and are 10 input
Conclusion:
2^9 = 512 because10 input are coinciding with 2 input
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| MATLAB release |
MATLAB 6.1 (R12.1)
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