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split spectrum method.

The split spectrum approach shown in Figure 1b, on the other hand, partitions the allocated spectrum between multiple tiers.

Several processing algorithms capable of suppressing grain noise have been proposed, of which the split spectrum processing (SSP) probably is the most renowned.

b Throughout the chapter, the terms shared spectrum and split spectrum will be used interchangeably with co-channel and dedicated channel, respectively.

The other is split spectrum allocation, by which the femtocells use different frequency bands than those employed by the macrocell; while this avoids interference to/from the macrocell, additional spectrum resources are required.

The PVs temperatures during the test are shown in Fig. 14, which clearly shows that the split spectrum PV was cooler than the full spectrum PV at all times.

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The curve fitting procedures proposed use the same criteria as proposed previously but with the additional complexity of fitting of multiplet split spectra which has been done based on spectra of numerous reference materials and theoretical XPS modeling of these transition metal species.

Split spectra clearly improve after the removal of long branches.

where β = (p,μ) and the parameter μ = ± 1 labels two branches of the spin-split spectrum.

The power difference between the splitted spectrum PV and the full spectrum PV exceeded the 40%% at low irradiance as shown in Fig. 13b.

Split-spectrum processing combined with neural networks as post-processors can improve flaw detection.

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