By computing the n-th order cumulants, only point-spread functions raised to the power of n are retained, which leads to a √ n-fold resolution improvement.
We begin by computing the following quantities during the m th received block: (7).
In general, for a protein with n ligand binding sites, we can express the apparent association constant for the i th binding event by computing the ratio between the concentrations of end products and initial reactants.
We present a three-stage algorithm for computing the k-th eigenpair with validation of its index.
The n th stage (n = N,…,1) computes the n th partial Euclidean distance (PEDn) in (3) by adding PEDn+1 (i.e., results of the (n+1 th stage) with Dn (i.e., calculated in the n th stage).
The unit step signal is denoted by {u[n]}, whilst u[n] = 1 for n ≥ 0, u[n] = 0 for n < 0. The algorithm invented by Goertzel [7] serves to compute the k th DFT component of the signal {x[n]} of length N, i.e., X [ k ] = ∑ n = 0 N - 1 x [ n ] e - j 2 π k n N, k = 0, …, N - 1. (1).
DO compute the j th one-dimensional profile.
Thus, the thresholds from th 2 to th 7 are adjusted by computing a certain percentile of the data.
The bottleneck in computing the JSD resides in searching for the k th nearest neighbor.
(3) Compute the approximation at the th step,, as (13) .
