@conference {Gutierrez2013,
	title = {{Statistical model of a signal of Raman spectroscopy: Detection}},
	booktitle = {Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013},
	year = {2013},
	month = {sep},
	pages = {1{\textendash}5},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Raman spectroscopy (RS) is a technique to find the spectral fingerprint of a material under study. To reach the spectrum, it is necessary to pass the acquired signal at the spectrometer by a bank of filters known as Raman signal{\textquoteright}s preprocessing system, which should eliminate all noise components accompanying the signal. The behavior of these noise components, and even the signal itself, are information that can be useful in order to optimize the system and to study the signal itself. This paper proposes a statistical model of Raman signal as the pre-processing system receives it, the signal{\textquoteright}s noise components and their statistical behavior, including its mathematical representation are presented. Additionally, it shows the results of the implementation of the simulation model leaving the door open for the validation, on which work is being done. The implementation of this model may be useful as an input signal for the optimization of the filter banks, since there are not always sufficient Raman signals for detailed study and development of filters for a specific signal under study. The model could also be used as a base for the study for systems using Raman spectroscopy to recognize substances. {\textcopyright} 2013 IEEE.},
	keywords = {pre-processing system of the Raman signal, Raman spectrometry, spectral fingerprint, statistical model},
	isbn = {978-1-4799-1121-9},
	doi = {10.1109/STSIVA.2013.6644935},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84891057081\&partnerID=tZOtx3y1},
	author = {Gutierrez, Carlos A. and Garcia, Xavier and Zurek, Eduardo E. and Salazar, Augusto}
}
@article {Garcia2008a,
	title = {{Strong-weak network anisotropy switching and hysteresis in three-dimensional granular materials}},
	journal = {Physical Review E},
	volume = {78},
	number = {2},
	year = {2008},
	pages = {021305},
	abstract = {We address hysteresis of three-dimensional polydisperse granular packs, comparing macro- and microscopic viewpoints, to reveal their elastic/inelastic mechanics and force network anisotropy. During the uniaxial loading-unloading cycle of an appropriately prepared pack, one can decompose the force network into weak and strong subnetworks. The first stages of loading exhibit arching, where all the fabric displays negative anisotropy. For later stages, the strong (weak) network shows positive (negative) anisotropy. On unloading, the force network progresses to a fabric wide hydrostatic point, where the anisotropies of the weak and strong subnetworks switch signs. During the loading stage, a Mohr circle analysis permits the identification of a well-defined macroscopic internal friction angle, whose value is larger than that of grain-grain interactions. To analyze unloading, a generalized local Coulomb-friction argument predicts a continuously changing friction angle, that vanishes at the hydrostatic point. A suggestive interplay between microscopic friction and fabric structure, at different loding stages, is proposed as the mechanism for the emergence of a macro internal friction angle. {\textcopyright} 2008 The American Physical Society.},
	issn = {1539-3755},
	doi = {10.1103/PhysRevE.78.021305},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-50849085166\&partnerID=tZOtx3y1},
	author = {Garcia, Xavier and Medina, Ernesto}
}
