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for large values of,,, and.
Also, it is obvious that more coverage is acquired for large values of m.
For large values of this leads to a CRM efficiency close to.
The null hypothesis is rejected for large values of the likelihood ratio.
For large values of d, the different check node degree distributions have almost the same performance.
It follows then that for large values of,, the following estimate is valid: (2.41).
However, for large values of R4, the DDF suffers from weak modulation depth.
Because of the singularity for large values of (|F'(0)|), small values are singled out.
This formula provides an extremely accurate approximation of n! for large values of n.
C: For large values of μ, system (1a)–(1b) remains permanently in the steady regime.
For large values of p, ρ K, 10) may increase as q increases.
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Justyna Jupowicz-Kozak
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