Relative matrix effects: A step forward using standard line slopes and ANOVA analysis

Adaptive Line Enhancement Using a Parallel IIR Filter with A Step-By-step Algorithm

 A step-by-step algorithm for enhancement of periodic signals that are highly corrupted by additive uncorrelated white gausian noise is proposed. In each adaptation step a new parallel second-order section is added to the previous filters. Every section has only one adjustable parameter, i.e., the center frequency of the self-tuning filter. The bandwidth and the convergence factor of each secti...

One step forward

[A step forward].

Nos gustaría comenzar esta nueva etapa agradeciendo a Elsevier y al anterior equipo editorial su esfuerzo, su constancia y su contribución al desarrollo de la Enfermería desde que comenzaron su andadura en el año 2004. Sin duda, Enfermería Clínica ha brindando a los enfermeros y enfermeras la posibilidad de colaborar en un objetivo común: el avance de la profesión para poder ofrecer nuestra mej...

Statistical analysis of relative labeled mass spectrometry data from complex samples using ANOVA.

Statistical tools enable unified analysis of data from multiple global proteomic experiments, producing unbiased estimates of normalization terms despite the missing data problem inherent in these studies. The modeling approach, implementation, and useful visualization tools are demonstrated via a case study of complex biological samples assessed using the iTRAQ relative labeling protocol.

Analysis of Planar Microstrip Circuits Using Three-Dimensional Transmission Line Matrix Method

The frequency-dependent characteristics of microstrip planar circuits have been previously analyzed using several full-wave approaches. All those methods directly give characteristic of the circuits frequency by frequency. Computation time becomes important if these planar circuits have to be studied over a very large bandwidth. The transmission line matrix (TLM) method presented in this paper ...