The Wiener filter approach to noise suppression is well known both theoretically and practically. This paper explains the idea of extending this filtering approach to shape the residual noise of the output signal. Motivated by different kinds of stationary and instationary noise sources that appear in an automobile, along with the necessity to address the problem of increasing the listener comf...

The authors propose a new realization algorithm for the 2-D FIR Wiener filters. The reduced-order 2-D orthogonal lattice filter structure is used as its principal component as in the 1-D case. A numerical example is included to verify the formulation. Introduction: One-dimensional (1-D) lattice structures have been wiedly used, as a subsystem, to solve FIR Wiener filtering problem. The lattice ...

We prove that, on the classical Wiener space, the random variable M = sup0≤t≤T Wt admits a measure as second Malliavin derivative, whose total variation measure is finite and singular w.r.t. the Wiener measure.

The problem of the optimal state estimation is solved for the system described by the continuous, linear, n-dimensional ordinary differential equation with multiplicative and additive Wiener noises. The obtained solution essentially relies on the recently developed optimal filtering theory for Itô-Volterra systems. Copyright c ©2005 IFAC.

In this paper we establish a generalized noise reduction scheme, called the Spatially Pre-processed Speech Distortion Weighted Multi-channel Wiener filter (SP-SDW-MWF), that encompasses the Generalized Sidelobe Canceller (GSC) and a recently developed Multi-channel Wiener Filtering (MWF) technique as extreme cases and allows for in-between solutions. Compared to the widely studied GSC with Quad...

A novel semi-blind defocused image deconvolution technique is proposed, which is based on multivariate local polynomial regression and iterative Wiener filtering. In this technique, firstly a multivariate local polynomial regression model is trained in wavelet domain to estimate defocus parameter. After obtaining the point spread function (PSF ) parameter, iterative wiener filter is adopted to ...

We propose a signal-adaptive robust time-varying Wiener filter for nonstationary signal estimation/enhancement. This filter uses projections onto local cosine subspaces and a novel “best subspace” algorithm. It allows efficient on-line operation including stable online estimation of design parameters. A statistical analysis is provided, and a speech enhancement example is considered.

The use of Wiener filters to restore noisy HREM images is discussed, exploiting the fact that the noise spectrum can be rather simply estimated. Conventional Wiener, Cannon, parametric versions of these and a random-phase form are found to be very effective. Quantitative analysis indicates that the signal-to-noise ratio is improved by a factor of 3-7, with better results for larger pictures. Su...

Here are the key ideas and results. • The output of linear time invariant system is the convolution of its impulse response and the input. The system is bounded iff its impulse response is summable. • The transfer function is the Fourier transform of the impulse response. • A system with rational transfer function is causal if the poles are inside the unit circle. It is causally invertible if t...

This paper proposes an adaptive Wiener filtering method for speech enhancement. This method depends on the adaptation of the filter transfer function from sample to sample based on the speech signal statistics; the local mean and the local variance. It is implemented in the time M.A. Abd El-Fattah · M.I. Dessouky · A.M. Abbas · S.M. Diab · S.M. El-Rabaie · F.E. Abd El-samie (B) Department of El...