By using this approximation for the PDF of a sum ∑ l = 1 L ζ ́ l ( t ) of Nakagami-m processes and applying the concept of transformation of random variables [[40], Equations 7-8], the PDF pΨ z) of the squared sum of Nakagami-m processes Ψ t) can be expressed using p Ψ ( z ) = 1 ∕ ( 2 z ) p S ( z ) as p Ψ ( z ) ≈ m S m S z m S - 1 Γ ( m S ) Ω S m S e - m S Z Ω S, z ≥ 0. (10).
One major benefit of using λ m is that using this approximation, different values of D and cens can be input which enables calculation of a range of sample sizes.
Using this approximation, the determinant of the information matrix, and therefore the approximation of the sampling variance of heritability, can be negative, when n > (1 − t)/(h × var(r ij)).
Using this approximation, the contribution of iodine from table salt can be calculated to be around 30 to 40 μg per day.
Using this approximation, the complexity of the STO estimation reduces even further: δ ̂ = ŷ ↑ − ŷ ↓ − z 0, ϕ ̂ z 1, ϕ ̂ (25).
Using this approximation, the posterior distributions of the log-spectrum of each speaker are computed, and the MMSE estimator is derived.
Approximate by Using this approximation, we calculate over a range of values [ s′, s′′] and determine the value s* that minimizes.
Using this approximation, and the definition of, we see that Therefore We now consider the integral over x.
Thus, we propose to use this approximation for system performance evaluation of channel borrowing scheme in reservation-based CAC schemes.
In [30], the authors used this approximation to evaluate the effect of limited CSI in a MIMO broadcast channel, when spatial multiplexing is implemented in transmission using similar codebook structures (e.g., closed-loop mode 1).
