1,579 research outputs found
Monte Carlo Hamiltonian: the Linear Potentials
We further study the validity of the Monte Carlo Hamiltonian method. The
advantage of the method, in comparison with the standard Monte Carlo Lagrangian
approach, is its capability to study the excited states. We consider two
quantum mechanical models: a symmetric one ; and an asymmetric
one , for and , for . The results for the
spectrum, wave functions and thermodynamical observables are in agreement with
the analytical or Runge-Kutta calculations.Comment: Latex file, 8 figure
A target guided subband filter for acoustic event detection in noisy environments using wavelet packets
This paper deals with acoustic event detection (AED), such as screams, gunshots, and explosions, in noisy environments. The main aim is to improve the detection performance under adverse conditions with a very low signal-to-noise ratio (SNR). A novel filtering method combined with an energy detector is presented. The wavelet packet transform (WPT) is first used for time-frequency representation of the acoustic signals. The proposed filter in the wavelet packet domain then uses a priori knowledge of the target event and an estimate of noise features to selectively suppress the background noise. It is in fact a content-aware band-pass filter which can automatically pass the frequency bands that are more significant in the target than in the noise. Theoretical analysis shows that the proposed filtering method is capable of enhancing the target content while suppressing the background noise for signals with a low SNR. A condition to increase the probability of correct detection is also obtained. Experiments have been carried out on a large dataset of acoustic events that are contaminated by different types of environmental noise and white noise with varying SNRs. Results show that the proposed method is more robust and better adapted to noise than ordinary energy detectors, and it can work even with an SNR as low as -15 dB. A practical system for real time processing and multi-target detection is also proposed in this work
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