Mathematical Methods for Separation of Overlapping Asymmetrical Peaks in Spectroscopy and Chromatography. Case study: One-Dimensional Signals
Journal Title: International Journal of Emerging Technologies in Computational and Applied Sciences - Year 2015, Vol 11, Issue 1
Abstract
Mathematical methods for separation of overlapping asymmetrical peaks in spectroscopy and chromatography were reviewed. Evaluation of initial peak parameters and curve fitting algorithms has been discussed.
Authors and Affiliations
Keywords
Related Articles
- EP ID EP649401
- DOI -
- Views 165
- Downloads 0
Impact of Channel Concatenation in 3D MIMO encoded 4x2mm Wave Wireless Communication System on Color Image Transmission
In this paper, we made a comprehensive BER performance simulative study on the color image transmission in a 3D MIMO encoded 4x2 mm Wave wireless communication system. The simulated system under investigation implem...
Prediction of Earthquake using F.E.M Techniques
This proposal deals with the use of Finite Element Method to model the EARTH as a WHOLE to predict Earthquakes on time- scale .Here the EARTH is considered as a whole and hence a change recorded at any place when applied...
FRW-Cosmological Model with Variable Deceleration Parameter
We have studied homogenous and isotropic FRW space time with variable deceleration parameter. The deceleration parameter is assumed to be trigonometric of function of time. The cosmological model describes a unified expa...
Big Data and Cloud Computing in SDN
Data has become the most powerful and powerful application in all applications such as Smart Applications, IT industry, and IT business. Massive data such as the word used to identify datasets that exceed the size of the...
An Empirical Study of Software Metrics and Measurement in Software Development Life Cycle: Extensive Study
The matrix is one of the important tools used for the measurement of software quality. They are an indicator for the organization to obtain information for continuous improvement in its productivity, reduced errors and i...