The management of uncertain and noisy data plays an important role in many problem solving tasks. One traditional approach is to quantify the magnitude of noise or uncertainty in the data and to take this information into account when using this type of data for different purposes. In this paper we propose an alternative way of handling uncertain and noisy data. In particular, noise in the data...

In this paper an estimator for speech enhancement based on Laplacian Mixture Model has been proposed. The proposed method, estimates the complex DFT coefficients of clean speech from noisy speech using the MMSE  estimator, when the clean speech DFT coefficients are supposed mixture of Laplacians and the DFT coefficients of  noise are assumed zero-mean Gaussian distribution. Furthermore, the MMS...

Entropy as a measure of uncertainty was used to represent the results of the wavelet technique in electrochemical noise analysis. The experimental signals were obtained by recording the electrochemical potential and current noise of 7075 aluminum alloy in 3.5% NaCl solution. The electrochemical potential and current noise were decomposed into 16 levels using Daubechies wavelets. Wavelet output ...

abstract today, debt stabilization in an uncertain environment is an important issue. in particular, the question how fiscal and monetary authorities should deal with this uncertainty is of much importance. especially for some developing countries such as iran, in which on average 60 percent of government revenues comes from oil, and consequently uncertainty about oil prices has a large effect ...

The NIST Noise Project has developed the theoretical formalism and experimental methods for performing accurate noise-temperature measurements on a wafer. This report summarizes the theoretical formulation and describes the design, methods, and results of tests performed to verify our ability to measure on-wafer noise temperature. Several different configurations with known off-wafer noise sour...