Only data points close to x i are used to fit the above mentioned model.
The acoustic features, including local features X local(i) and acoustic context X context(i), are used to train the initial acoustic model.
The measurements, d k (i) and u k (i), are used to generate an estimate, w k (i) of size (M × 1), of the unknown vector w o.
Two consecutive even and one odd indexed input sequences X(i) are used to calculate high-pass coefficient WH i) (detail coefficients), as given by (3).
Transmitter i and receiver i are used to indicate secondary receiver of link i and N s is the total number of SUs.
The upper and lower limits of the possible signal power level in cell c i are used to determine the bbms using the principle of insufficient reason, or indifference (Bernoulli, Ars conjectandi, 1713).
Hence, the pair of decomposition factors (D ip, D op ) closest to (N/L i, N/L o ) that satisfy D ip ≤ N/L i are used by the decomposed transform algorithm, according to the proximity evaluated by its Euclidean distance.
The vector of estimated parameters, ( {tilde{boldsymbol{beta}}}_i ), and the predictor, W i, are used to predict the response vector ỹ i for the ith class as begin{array}{cc}hfill {tilde{boldsymbol{y}}}_i={boldsymbol{W}}_i{tilde{boldsymbol{beta}}}_i,hfill & hfill i=1,2,dots, Nhfill end{array} (5).
However, the expression of the weight w k i, j has an extra denominator, which accounts for the fact that only the observations y k (t i−1 ) and y k (t i ) are used during the correction step in bin ( i, j ), while all other observations in y k are ignored.
where μ ¯ Op = 1 P ∑ p = 0 P − 1 μ Op, σ ¯ Op = 1 P ∑ p = 0 P − 1 σ Op O μ _ L B P P, R r i and O σ _ L B P P, R r i are used to together represent direction rotation invariant O _ L B P P, R r i of the whole texture image.
For each p ∈ 1, …, N particle in each i ∈ 1, …, B iteration, two main parameters, a p i and s p i, are used, where a p i stands for the actual particle and s p i stands for the selected particle; a p i is initialized with particle p. With uniform distribution, we draw a u p i random number on [0,1) and s p i particle from the complete particle set.
