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Novel 1 H low field nuclear magnetic resonance applications for the field of biodiesel
magnetic resonance field nuclear
2015/7/3
Biodiesel production has increased dramatically over the last decade, raising the need for new rapid
and non-destructive analytical tools and technologies. 1
H Low Field Nuclear Magnetic Resonance (...
Corrupted Sensing: Novel Guarantees for Separating Structured Signals
Corrupted sensing compressed sensing deconvolution error correction structured signal sparsity block sparsity low rank atomic norms ℓ 1 minimization
2013/6/14
We study the problem of corrupted sensing, a generalization of compressed sensing in which one aims to recover a signal from a collection of corrupted or unreliable measurements. While an arbitrary si...
A Novel Exact Representation of Stationary Colored Gaussian Processes (Fractional Differential Approach)
Digital Filtering Filtered White Noises Power Spectral Density Fractional Brownian Motion Fractional Stochastic Differential Equation Fractional Spectral Moments
2013/4/28
A novel representation of functions, called generalized Taylor form, is applied to the filtering of white noise processes. It is shown that every Gaussian colored noise can be expressed as the output ...
A Novel Universal Statistic for Computing Upper Limits in Ill-behaved Background
Novel Universal Statistic Computing Upper Limits Ill-behaved Background
2012/9/18
Analysis of experimental data must sometimes deal with abrupt changes in the distribution of measured values. Setting upper limits on signals usually involves a veto procedure that excludes data not d...
Modelling outliers and structural breaks in dynamic linear models with a novel use of a heavy tailed prior for the variances: An alternative to the Inverted Gamma
Modelling outliers structural breaks Inverted Gamma
2011/7/19
In this paper we propose a new wider class of hypergeometric heavy tailed priors that are given as the convolution of a Student-t density for the location parameter and a Scaled Beta2 prior for the va...
A Novel Algorithm for Cooperative Distributed Sequential Spectrum Sensing in Cognitive Radio
Cognitive Radio Spectrum Sensing Cooperative
2010/10/19
This paper considers cooperative spectrum sensing in Cognitive Radios. In our previous work we have developed DualSPRT, a distributed algorithm for cooperative spectrum sensing using Sequential Probab...
Collaborative Development of Knowledge Representations–a Novel Approach to Knowledge Elicitation and Transfer
knowledge elicitation knowledge creation knowledge sharing knowledge transfer action research
2009/7/16
Knowledge Management (KM) initiatives are driven by the need to preserve and share knowledge, in particular tacit knowledge, that experts have built up in the course of doing their jobs. Such initiati...