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BMCBI
2010
145views more  BMCBI 2010»
13 years 4 months ago
WaveletQuant, an improved quantification software based on wavelet signal threshold de-noising for labeled quantitative proteomi
Background: Quantitative proteomics technologies have been developed to comprehensively identify and quantify proteins in two or more complex samples. Quantitative proteomics base...
Fan Mo, Qun Mo, Yuanyuan Chen, David R. Goodlett, ...
CCECE
2009
IEEE
13 years 11 months ago
On the second-order cyclostationarity for joint signal detection and classification in cognitive radio systems
—Spectrum awareness is a crucial first step of a cognitive radio (CR). This provides information necessary for the CR to adapt to the radio frequency environment, and involves re...
Qiyun Zhang, Octavia A. Dobre, Sreeraman Rajan, Ro...
BMCBI
2010
124views more  BMCBI 2010»
13 years 4 months ago
A Dynamic Noise Level Algorithm for Spectral Screening of Peptide MS/MS Spectra
Background: High-throughput shotgun proteomics data contain a significant number of spectra from non-peptide ions or spectra of too poor quality to obtain highly confident peptide...
Hua Xu, Michael A. Freitas
ICALP
2009
Springer
14 years 4 months ago
Improved Algorithms for Latency Minimization in Wireless Networks
In the interference scheduling problem, one is given a set of n communication requests described by sourcedestination pairs of nodes from a metric space. The nodes correspond to d...
Alexander Fanghänel, Berthold Vöcking, T...
CCECE
2006
IEEE
13 years 10 months ago
Likelihood-Based Algorithms for Linear Digital Modulation Classification in Fading Channels
Blind modulation classification (MC) is an intermediate step between signal detection and demodulation, with both military and civilian applications. MC is a challenging task, esp...
Octavia A. Dobre, Fahed Hameed