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CCECE
2006
IEEE
15 years 3 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
ICASSP
2009
IEEE
15 years 1 months ago
Cepstral modulation ratio regression (CMRARE) parameters for audio signal analysis and classification
In this paper we propose a new set of parameters for audio signal analysis and classification. These parameters are regressions computed on the normalized modulation spectrum of h...
Rainer Martin, Anil Nagathil
ANNS
2007
14 years 11 months ago
Direct and indirect classification of high-frequency LNA performance using machine learning techniques
The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associa...
Peter C. Hung, Seán F. McLoone, Magdalena S...
APVIS
2004
14 years 11 months ago
A Survey, Classification and Analysis of Perceptual Concepts and their Application for the Effective Visualisation of Complex In
Information visualisation has become increasingly important in science, engineering and commerce as a tool to convey and explore complex sets of information. This paper introduces...
Burkhard Wünsche
ICMLA
2004
14 years 11 months ago
PolyCluster: an interactive visualization approach to construct classification rules
This paper introduces a system, called PolyCluster, which adopts state-of-the-art algorithms for data visualization and integrates human domain knowledge into the construction pro...
Danyu Liu, Alan P. Sprague, Jeffrey G. Gray