2006
DOI: 10.1007/11679363_40
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Separability of Convolutive Mixtures: Application to the Separation of Combustion Noise and Piston-Slap in Diesel Engine

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Cited by 2 publications
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“…In the noise source identification of the engine, signal processing-based approach is quite popular these days because of its comprehensive performance in accuracy [4,5], flexibility, and cost-saving [6,7]. Lots of method have been proposed, such as the cyclic Wiener filtering [8,9], the timefrequency analysis [10][11][12], the blind source separation [13,14], and the coherent spectrum analysis (CSA) [15]. But it is still very difficult for only using one signal processing method to perfectly handle the complex noise problem.…”
Section: Introductionmentioning
confidence: 99%
“…In the noise source identification of the engine, signal processing-based approach is quite popular these days because of its comprehensive performance in accuracy [4,5], flexibility, and cost-saving [6,7]. Lots of method have been proposed, such as the cyclic Wiener filtering [8,9], the timefrequency analysis [10][11][12], the blind source separation [13,14], and the coherent spectrum analysis (CSA) [15]. But it is still very difficult for only using one signal processing method to perfectly handle the complex noise problem.…”
Section: Introductionmentioning
confidence: 99%
“…The main contributions are based on : filtered vibration oscillations (Souder et al (2004)), time-frequency analysis (Carstens-Behrens et al (2002)), cepstrum (Randall et al (1996)) and source separation (Akil and Servière (2006)). With these techniques, the knock signal is the main input and the robustness of the combustion variable estimation strongly rely on the availability of the combustion related information on the vibration trace.…”
Section: Introductionmentioning
confidence: 99%