Publication | Closed Access
A time-frequency method for increasing the signal-to-noise ratio in system identification with exponential sweeps
33
Citations
14
References
2011
Year
Unknown Venue
AeroacousticsNonlinear System IdentificationParameter IdentificationEngineeringStatistical Signal ProcessingNumerical SimulationsEnvironmental NoiseNoiseSystems EngineeringNonlinear Signal ProcessingTime-frequency MethodTimefrequency AnalysisExponential SweepsAcoustic Signal ProcessingSystem IdentificationSignal ProcessingNoise Reduction
Exponential sweeps are widely used to measure impulse responses of electro-acoustic systems. Measurements are often contaminated by environmental noise and nonlinear distortions. We propose a method to increase the signal-to-noise ratio (SNR) by denoising the recorded signal in the time-frequency plane. In contrast to state-of-the art denoising methods, no assumption about the spectral characteristics of the noise is required. Numerical simulations demonstrate improvements in the SNR under low-SNR conditions even for measurements contaminated by colored noise.
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