Sentence examples for location coefficients from inspiring English sources

Time location coefficients can be used to determine the time of impulse occurrence.

The impulses induced by bearing faults have convolutional sparse characteristics, and can be described as the convolution of shock responses and time location coefficients.

The convolutions of learned shock responses and inferred corresponding time location coefficients are used to extract impulses submerged in vibration signals and are convenient for post-processing methods, such as Hilbert envelope analysis.

One of the problems is that shock responses are learned directly from vibration signals via the shift-invariant dictionary learning (SIDL) of SRCSCT; the other is that the time location coefficients are inferred from vibration signals via shift-invariant sparse coding (SISC) of SRCSCT.

The total loop scores were calculated by multiplying the location coefficient with the size coefficient.

Finally, the total loop score was calculated by multiplying the location coefficient with the size coefficient.

The central loops are scored as follows: (i) to get a location coefficient according to the locations of loops: 1 for standard loop, 0.75 for type II decentered loop, 0 or 0.5 for type I decentered loops starting before nt7 inclusive or at nt8; (ii) to get the size coefficient according to the sizes of the loops: 10 for 1 bp, 20 for 2 bp, and 25 for 3 bp.

We have demonstrated that using location-coefficient functions of the second order ODE as features we have accurately classified the tumor and normal samples.

Since the second order ODE can model RNA-seq data very well, the location-coefficient functions of the ODE may well characterize the features of the regulatory process and measure the impact of the gene expression on the function of the cells and tissues.

As mentioned before, the JND is determined by some global settings, the location of coefficient, and QP and DC values.

This is a demanding feature for our problem where the θ vector in general consists of the source locations, attenuations coefficients, and the multi-path parameters.