Sentence examples for transform the mean from inspiring English sources

The couple decided that, despite having no experience of house design or building, they could transform the mean space into a small but perfectly formed contemporary holiday home.

Mean square distortion does not work for our goal of finding the optimal DCT coefficients to embed data bits as DCT is an orthogonal transform, the mean square distortion for the same number of embedded bits will always be the same regardless of which DCT coefficients are used.

Expression data were normalized by performing a total intensity normalization to transform the mean log2 ratio to zero.

If we transform the mean and intercept from the regression model using the Box-Cox transformed data to the square of the Euclidean distance we estimate that on average TE insertions account for 19% of all expression divergence (95% confidence intervals from bootstrapping: 10%, 26%).

After the inverse Fourier transform, the mean (i.e., the global luminance) and standard deviation (i.e., global RMS contrast) of each image were adjusted to match the average global luminance and RMS contrast of the original image set.

Our best hope, Varoufakis suggests, lies with the liberating effects of hi-tech developments such as 3D printing, which will transform the means of production and social relations.

This operation transforms the mean and standard deviation of each variable into 1 and 0, respectively.

This increases their stiffness and transforms the mean stress in the lower flanges from tension to compression.

The main neural population, the excitatory and inhibitory interneurons, are in each case described by both a second-order ordinary differential operator, which transforms the mean incoming firing rate into the mean membrane potential, and a nonlinear function, which transforms the mean membrane potential into the mean output firing rate.

For example, if we regress the Box-Cox transformed value of ED against the 24 TE-region combinations and then back-transform the mean and intercept to the Euclidean distance, the estimate of Z is 9.9%; but if we back-transform the mean and intercept to the square-root of the Euclidean distance Z = 5.5%.

For visualization of results, we transformed the mean and mean±one standard error of the z-scores back to A' with an inverse logit transform.