Subspace modelling for structured noise suppression

The problem of structured noise suppression is addressed by (i) modelling the subspaces hosting the components of the signal conveying the information and (ii) applying a nonlinear non-extensive technique for effecting the right separation. Although the approach is applicable to all situations satisfying the hypothesis of the proposed framework, this work is motivated by a particular scenario, namely, the cancellation of low frequency noise in broadband seismic signals.     

一种利用多通道小波变换去噪的算法

通过对多通道小波和小波变换以及奇异信号的小波变换特性的讨论和分析,提出了一种利用M道小波变换去噪的算法,并利用此算法对加噪信号进行了模拟实验,实验结果表明,该算法简便,易于编程实现且去噪效果理想。     

An active noise reduction earplug using a piezoelectric laterally radiating loudspeaker

This paper describes the electroacoustic behaviour of a new piezoelectric Active Noise Reduction (ANR) earplug device. The sensor is a microphone having suitable characteristics chosen from among commercially available electret microphones. The actuator is a cylindrical piezoelectric ceramic loaded with a thin fluid film. An analytic model of laterally radiating loudspeaker, based on fundamental equations of acoustics, which takes into account the effect of viscosity and heat conduction is adapted to describe the acoustic radiation of the actuator. Theoretical and experimental frequency responses in a small cavity and an example of the ANR that can be obtained with the earplug are presented.     

Malliavin Calculus for White Noise Driven Parabolic SPDEs

We consider the parabolic SPDE

Noise filtering and deconvolution of XPS data by wavelets and Fourier transform

In experimental sciences, the recorded data are often modelled as the noisy convolution product of an instrumental response with the ‘true’ signal to find. Different models have been used for interpreting x‐ray photoelectron spectroscopy (XPS) spectra. This article suggests a method of estimate the ‘true’ XPS signal that relies upon the use of wavelets, which, because they exhibit simultaneous time and frequency localization, are well suited to signal analysis. First, a wavelet shrinkage algorithm is used to filter the noise. This is achieved by decomposing the noisy signal into an appropriate wavelet basis and then thresholding the wavelet coefficients that contain noise. This algorithm has a particular threshold related to frequency and time. Secondly, the broadening due to the instrumental response is eliminated through a deconvolution process similar to that developed in the previous paper in this series for the analysis of HREELS data. This step mainly rests on least‐squares and on the existing relation between the Fourier transform, the wavelet transform and the convolution product. Copyright © 2004 John Wiley & Sons, Ltd.     

Langevin dual equations for nonlinear multiports

It is shown that the Langevin equations for equilibrium nonlinear multiports comprise a set of dual matrix linear integral transforms, which link a matrix ensemble of noise short-circuit current realizations and that of noise open-circuit voltage realizations; the matrix kernel of each integral transform is entirely determined by linear characteristics of the nonlinear electrical multiport.     

On nonlinear structure of electrical noise generated by slow discharge

Nonlinear structure of electrical noise of slow electrochemical discharge is analyzed within theory of integral random homogeneous fluxes with independent increments. It is shown that the degree of deviation of a flux of elementary acts from the Poissonian flux is defined by the magnitude of the factor of symmetry of slow discharge. An equation that links polyspectra of slow discharge of first, second, and third orders is derived.     

Characterisation of light emitting diodes (LEDs) for application in digital holographic microscopy for inspection of micro and nanostructured surfaces

Partial coherent light sources open up prospects for phase noise reduction in digital holographically reconstructed phase distributions by suppressing multiple reflections in the experimental setup. Thus, light emitting diodes (LEDs) are investigated for application in digital holographic microscopy. First, the spectral properties and the resulting coherence length of an LED are characterised. In addition, an analysis of dispersion effects and their influence on the hologram formation is carried out. The coherence length of LEDs in the range of a few micrometers restricts the maximum interference fringe number in off-axis holography for spatial phase shifting. Thus, the application of temporal phase-shifting-based digital holographic reconstruction techniques is compared to spatial phase-shifting-based methods. It is demonstrated that LEDs are applicable for digital holographic microscopy in connection with both spatial and temporal phase-shifting-based techniques for reduction of noise in comparison to a laser-light-based experimental setup.     

Prediction of noise inside tracked vehicles

In this paper, numerical simulation has been used to predict the noise inside tracked vehicles. To determine the interaction forces between running track system and the chassis hull of a tracked vehicle, a rigid multi-body tracked vehicle mode, which includes the track moving system, was constructed and simulated using ADAMS software. Finite element (FE) and boundary element (BE) models of the chassis hull of a tracked vehicle were created and adopted to perform the vibro-acoustic analysis. Correlation between the FE and BE models and physical measurements proved sufficiently good that the models could be used to predict the interior noise in a tracked vehicle. The structural frequency dynamic response was determined using the software MSC/NASTRAN. The interior noise was predicted using the software SYSNOISE. The predicted noise levels in a tracked vehicle have been found to be in good agreement with physical measurements.