We discuss empirical Bayes approach to the problem of adaptive estimation of a linear functional of an infinite dimensional normal mean vector. In the continuous setting, this problem corresponds, via Fourier duality, to the pointwise recovery of a signal observed in the white Gaussian noise. The minimax approach to this problem is essentially equivalent to the Bayes filtering of a stationary G...

Work discussed in this paper is related to the denoising of a CT image before further using it. In order to attain the objective Dual Tree Discrete Wavelet Transform (DT-DWT) and wiener filter are being used to remove the noise that are either introduced in the image during capturing or injected into the image during transmission. The DT-DWT has an excellent performance in the denoising field a...

Stochastic-deterministic (SD) speech modelling exploits the predictability of speech components that may be regarded deterministic. This has recently been employed in speech enhancement resulting in an improved recovery of deterministic speech components, although the improvement achieved is largely dependant on how these components are estimated. In this paper we propose a joint SD Wiener filt...

In this paper, an adaptive channel estimation scheme based on the reduced-rank (RR) Wiener filtering (WF) technique is proposed for multi-band (MB) orthogonal frequency division multiplexing (OFDM) ultra-wideband (UWB) communication systems in multipath fading channels. This RR-WF-based algorithm employs an adaptive fuzzy-inference-controlled (FIC) filter rank. Additionally, a comparative inves...

We address the problem of joint common-dedicated pilots downlink user dedicated channel estimation for W-CDMA receivers, in particular in the presence of dedicated channel transmit beamforming. The optimal dedicated channel estimate is derived via a three steps procedure, consisting of building brute FIR dedicated and common channel estimates on a perslot basis exploiting the dedicated and comm...

This paper extends and complements previous research we have performed on the performance of nonadaptive narrowband suppression filters when used in cellular codedivision multiple-access (CDMA) overlay situations. In this paper, an adaptive least mean square (ILMS) filter is applied to a cellular CDMA overlay in order to reject narrowband interference. An accurate expression for the steady-stat...

This paper extends and complements previous research we have performed on the performance of nonadaptive narrowband suppression filters when used in cellular codedivision multiple-access (CDMA) overlay situations. In this paper, an adaptive least mean square (ILMS) filter is applied to a cellular CDMA overlay in order to reject narrowband interference. An accurate expression for the steady-stat...

One of the most frequently occuring artifacts in ultrasound imaging is reverberations. These are multiple reflection echoes that result in ghost echoes in the ultrasound image. A method for reducing these unwanted artifacts using a three-dimensional (3D) Wiener filter is presented. The Wiener filter is a global filter and produces an estimate of the uncorrupted signal by minimizing the mean squ...

a critical protection requirement for grid connected distributed generators (dg) is anti-islanding protection. in this paper, a new islanding detection method for any possible network loading is proposed based on utilizing and combining various system parameter indices. in order to secure the detection of islanding, eight intentional disturbances are imposed to the system under study in which t...