this paper is mainly focused on noise pollution problems related to the use of wind turbines. the installed turbines are vestas v52 and the farm map under study is a typical rural area in south italy, in which a wind farm has been recently installed and made operative. since the area is rural and the number of vehicles per hour is negligible, noise emitted by roads does not affect the predictio...

The map-making problem for CMB anisotropy measurements was first considered in the context of the COBE-DMR mission 3,5. It was further extended to quick algorithms for differential measurements 6 taking into account 1/f noise 7. Given the size of the upcoming datasets (≥ 106 pixels for MAP) it is essential that the map-making algorithm remains quick (typically O(nd logLN ) where nd is the numbe...

In this paper, we study the effects of different ASE noise models on the performance of turbo code (TC) decoders. A soft-decoding algorithm, the Bahl, Cocke, Jelinek, and Raviv (BCJR) decoding algorithm [1], is generally used in the TC decoders. The BCJR algorithm is a maximum a posteriori probability (MAP) algorithm, and is very sensitive to the noise statistics. The Gaussian approximation of ...

The properties of the Cosmic Microwave Background (CMB) maps carry valuable cosmological information. Here we report the results of the analysis of ellipticity of the hot and cold CMB anisotropy spots in the BOOMERanG 150 GHz map. We carried out this analysis for the map obtained by summing independent measurement channels (signal plus noise map) and for a comparison map (noise only map) obtain...

This paper examines whether non-acoustic noise reference signals can provide accurate estimates of noise at very low signalto-noise ratios (SNRs) where conventional estimation methods are less effective. The environment chosen for the investigation is Formula 1 motor racing where SNRs are as low as -15dB and the non-acoustic reference signals are engine speed, road speed and throttle measuremen...

In this work we develop two statistical estimation methods of maximum a posterior probability (MAP) and cumulative distribution function equalization (CDFE) for the speech spectral component estimation approaches with the application in the noise suppression filters. In contrast to the histogram equalization approach, the CDFE is developed here based on speech and noise spectral modeling, which...

Removal of speckle noise from Synthetic Aperture Radar (SAR) images is an important step before performing any image processing operations on these images. This paper presents a novel Stationary Wavelet Transform (SWT) based technique for the purpose of removing the speckle noise from the SAR returns. Maximum a posteriori probability (MAP) condition which uses a prior knowledge is used to estim...