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The PCR and PLS-1 methods require neither any separation step, nor any prior graphical treatment of the overlapping spectra of the two drugs in a mixture.
The PCR and PLS-1 methods require neither any separation step, nor any priori graphical treatment of the overlapping spectra of the three drugs in a mixture.
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This method requires neither a priori knowledge on signals to construct any analytic dictionary, nor a large number of sample signals to form a training dictionary.
Since this method requires neither sequencing nor radioisotope labeling, it will be easy to transfer the method into a field based high throughput screening of genetic polymorphism.
In particular, the proposed method requires neither special constraints on the state-space system matrices nor linear matrix equalities, which are hard to be satisfied.
The current method requires neither Cholesky decomposition nor modal factorization, thus is more efficient than the original spectral representation method when a large number of wind processes are to be simulated.
The proposed method requires neither complex optimization nor complex parameter adjustments.
The partial least square method requires neither continuous data nor multi-normality.
However, the method requires neither the presence of faceted nanocrystals nor the use of image simulation procedures.
2 It means that the method requires neither the parallel data of a source speaker and target speaker nor the parallel data of the reference speakers.
Compared with the previous prediction filter-based approach, the proposed method requires neither causality delays nor explicit estimation of the prediction errors.
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CEO of Professional Science Editing for Scientists @ prosciediting.com