Motivated by the biomedical engineering used in early-stage breast cancer detection, we investigated the use of MUltiple SIgnal Classification (MUSIC) algorithm for location searching of small anomalies using S-parameters.
From Figure 9 we can infer that the use of efficient multilevel modulations, which make use of multiple signal phase and amplitude levels to carry multiple bits per symbol, may demand more precise channel estimation to demodulate the received signal, especially in high-speed environments.
The combined use of multiple signal features enhances separation of single-molecule data.
The use of multiple signal modalities, where each modality increases efficacy under specific conditions, can enhance signal conspicuousness in a variety of sensory modes (Ryan & Keddy-Hector, 1992).
These findings reinforce the arguments for exploiting all possible information sources for drug safety and the parallel use of multiple signal detection methods.
For example, a recent study set out to find causal variants within regions under recent positive selection using a composite of multiple signals (CMS) (Grossman et al. 2010).
These results were reproduced using the three positive selection statistics separately (DH, iHS and XP-CLR in all populations, except XP-CLR in CEU and CHB), and also using the Composite of Multiple Signals method (Grossman et al. 2013, 2010) (supplementary note, fig. S3, and table S3, Supplementary Material online).
The genome-wide signals of recent positive selection were scanned in the phase 1 data set of the 1000 Genome Project using a modified composite of multiple signals (CMS) method (Grossman et al. 2010; Abecasis et al. 2012).
Yet in a review of multiple signals used in mate choice, which focused primarily on multicomponent unisensory signals, Candolin (2003) suggested that multiple signals are more likely to be made up of nonredundant than redundant components ("multiple messages" rather than "backup signals"; Johnstone 1996).
However, the method is a general method that can be used to construct models of the effects of multiple signals on various cellular outcomes, including signaling intermediates.
