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In binary hypothesis problem, we are interested in finding the hypothesis which is true.
For a two-sensor system, censoring converts the simple binary hypothesis problem to a composite hypothesis problem in which we get four different sensor-output combinations under each hypothesis.
Moreover, K-Best decoder suffers similarly as LSD from missing counter hypothesis problem due to the limited list size.
Thus, cache scheme may be modeled as a binary hypothesis problem: H 0 : The cache is active.
Therefore, the spectrum sensing problem may be modeled as a binary hypothesis problem: H0: The PU is absent, H1: The PU is present.
When we look at each country separately as well as at all the different measures of time allocation available in our data, we are plagued by the multiple hypothesis problem and type I errors.
Similar(50)
But as with the flower hypothesis, problems remain with the nutrient-based theory.
When the UMP test fails, a common practice in solving composite hypothesis problems is to apply a generalized likelihood ratio test (GLRT) which is known to give a performance close to the optimal rule in a wide range of detection problems when the optimal rule is hard to find [10].
The existence or absence of a PU signal can be modeled as a binary hypotheses problem as originally proposed by [18, 19] and later followed by most researchers [20, 21].
Throughout this work, we refer to use of the BLAST and Mauve tools as "abilities" and the application of these abilities to formulating hypotheses, problem solving, analysis, and synthesis as "skills".
When the PAM signal y(t)=0 in the hypothesis testing problem of Equation 36, the problem becomes a detection problem.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com