Sentence examples for normalized variance from inspiring English sources

In a preliminary study, our group showed, using isogenic cell populations expressing a fluorescent reporter, that modification of chromatin marks, using chromatin-modifying agents such as 5-azacytidine (5-AzaC) and trichostatin A (TSA), induced significant effects on mean fluorescence intensity (MFI) and normalized variance (NV; that is, the variance normalized by the square of the mean) [ 11].

where Following the definition of (23), we obtain the normalized variance as.

Similar to (23), we derive the normalized variance of information sequence interference by removing the channel gain by.

Since (22) depends upon the channel transfer functions (equivalently, the channel impulse response), we define the normalized variance as.

Top panels display predicted and measured normalized variance (c_{1} + c_{2}) of the fitted curve; bottom panels are the (m_{2}) slow exponential decay-rates (in (ms)−1).

The fit of the summed DC MTs with the target non-DC MT n is measured by misfit (normalized variance) ell_{kl} = frac{|{varvec{n} - {mathbf{B}}_{kl} tilde{varvec{b}}_{kl}|^{2} }}{{|varvec{n}|^{2} }} cdot 100%.

Alternatively, the epicenter coordinates of the cluster parent is replaced by the centroid coordinates of their immediate aftershocks (Model 1), or the identity matrix is replaced by the normalized variance-covariance matrix (Model 2), or the both are replaced (Model 3).

Consider the space-time occurrence rate conditioned on the occurrence history H t up to time t such that (2 where (x j, y j ) and S j are the aftershock centroid and normalized variance-covariance matrix of spatial clusters, respectively, which are specified in the next section.

As for the channel, we assume L = 16-path Rayleigh block fading channels with normalized variances for each time phase Ω1 = Ω2 = 1 and QPSK data modulation.

Parameters and are associated with the number of multipath clusters through which desired and interference signals propagate, and they are defined in the terms of normalized variances as in [5, 11].

Then, different measures can be compared based on their normalized variances.