Sentence examples for using a recursive procedure from inspiring English sources

Once the set of spatially multiplexed users is determined, the optimal transmission modes are selected for each user, using a recursive procedure at the BS that takes into account the user's estimated SNR after the signal detection, the properties of the available transmission modes, and the maximal BER requirements for each traffic type.

The optimized transmission threshold vector is found using a recursive procedure explained in the following: 1. Start the optimization procedure for N=2 such that the optimization is a scalar problem and we only need to find the threshold κ N since κ 1=0.   2.

RT outliers were removed using a recursive procedure with a moving criterion [34].

Model #2 (analogous to the squared-change parsimony,[ 56], Ch. 23) inferred the spacer lengths for internal nodes as a weighted average of the spacer lengths of external nodes using a recursive procedure.

Observing that Value at Risk (V@R) is not strongly time consistent, Boda and Filar (2006), and Cheridito and Stadje (2009) construct a strongly time consistent alternative to V@R by using a recursive composition procedure.

In practice, the CPSD is estimated using a recursive smoothing procedure corresponding to a first-order low-pass filter [35], i.e., Φ ̂ i ℓ ( g ) n, λ = α Φ ̂ i ℓ ( g ) n, λ − 1 + ( 1 − α ) y i ( g ) n, λ y ℓ ( g ) ∗ n, λ, (7).

The probability of flutter is estimated using a recursive search procedure and four reliability models: First Order Reliability Method (FORM), First Order Reliability Method including the effect of unsteadiness in the aeroelastic loads (FORM-C), Second Order Reliability Method (SORM) and Weighted Average Reliability Method (WARM).

Our computational study is done using a data classification approach with a support vector machine-based classifier in conjunction with feature selections using a recursive feature elimination procedure.

Using a recursive feature elimination procedure and a support vector machine (SVM) classification algorithm, Ramaswamy et al. (2001) obtained their best result with 42 tumors correctly predicted among the 54 test samples, corresponding to an accuracy of 78% [ 11].

These matches are then extended using a recursive, depth-first, search procedure.

We update the background using a recursive filter [19, 20].