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MICROPHONE ARRAY SPEECH ENHANCEMENT BY BAYESIAN ESTIMATION OF SPECTRAL AMPLITUDE AND PHASE
MICROPHONE ARRAY SPEECH ENHANCEMENT BAYESIAN ESTIMATION SPECTRAL AMPLITUDE AND PHASE
2015/9/29
Microphone arrays provide new opportunities for noise reduction and speech enhancement. This paper presents anovel decomposition of the estimation problems for short-time spectral amplitude (STSA), lo...
MINUET:MUSICAL INTERFERENCE UNMIXING ESTIMATION TECHNIQUE
MINUET MUSICAL INTERFERENCE UNMIXING ESTIMATION TECHNIQUE
2015/9/29
We propose a noise cancellation technique that performs robustly in the presence of poor channel estimates and channel synchronization errors. The technique is based on the assumption that the signals...
SPEECH NOISE ESTIMATION USING ENHANCED MINIMA CONTROLLED RECURSIVE AVERAGING
noise power spectrum estimation noise control speech enhancement noise cancellation filter
2015/9/29
Accurate noise power spectrum estimation in a noisy speech signal is a key challenge problem in speech enhancement.One state-of-the-art approach is the minima controlledrecursive averaging (MCRA). Thi...
Statistical Estimation and Testing via the Sorted 1 Norm
Sparse regression variable selection false discovery rate lasso sorted 1 penalized estimation (SLOPE) prox operator
2015/6/17
We introduce a novel method for sparse regression and variable selection, which is inspired by modern ideas in multiple testing. Imagine we have observations from the linear model y = Xβ + z, then we ...
Parametric estimation of the driving Lévy process of multivariate CARMA processes from discrete observations
Parametric estimation the driving Lévy process of multivariate CARMA processes discrete observations
2012/11/23
We consider the parametric estimation of the driving L\'evy process of a multivariate continuous-time autoregressive moving average (MCARMA) process, which is observed on the discrete time grid $(0,h,...
Jackknife and bootstrap with cycling blocks for the estimation of fractional parameter in ARFIMA model
Jackknife bootstrap fractionally parameter ARFIMA model moving blocks non overlapping blocks
2011/4/6
One of most important problems concerning the ARFIMA time series model is the estimation of fractional parameter d. Various methods have been used to solve this problem, such as the log-periodogram r...
Estimation of reliability based on Pareto distribution
Pareto maximum likelihood asymptotic distribution
2010/11/1
This paper deal with estimation of p(x > y) when x and y are tow independent pareto distribution . the maximum likelihood and its asymptotical distribution is obtain.
Comparison on modelling the relative risk estimation: Bayesian study
hierarchical Bayesian models relative risk potential scale reduction
2010/11/1
The estimation of the disease incidents was previously analyzed using a classical approach. However, this approach features large outlying relative risks and considered as misleading due to several ma...
On estimation of the exponentiated Pareto distribution under different sample schemes
Bayes estimators Maximum likelihood estimator
2010/9/20
Bayes and classical estimators have been obtained for two parameters aexponentiated Pareto distribution when sample is available from complete, type I and type II censoring scheme. Bayes estimators ha...
Estimation of the parameters of the generalized exponential distribution in the presence of one outlier generated from uniform distribution
Generalized exponential distribution uniform distribution
2010/9/26
Gupta and Kundu (1999) defined the cumulative distribution function of the generalized exponential (GE). It has many properties that are quite similar to those of the gamma distribution. This paper de...
Probability distributions and estimation of Ali-Mikhail-Haq copula
Dependence measure Tail dependence
2010/9/21
The Pearson product-moment correlation commonly used as statistical dependence measure was developed assuming normal marginal and addresses only linear dependence. In most applications, the distributi...
Applications of operational calculus: Rectangular prisms and the estimation of a missing datum
Interpolation data replacement operational equations
2010/9/21
Operational equations can be used for the estimation of data missing from prismatic arrays. This paper continues the discussion of that subject. New interpolating equations for data in prismatic and r...
The performance of mutual information for mixture of bivariate normal distributions based on robust kernel estimation
Mutual Information Kernel Density Minimum Volume Ellipsoid
2010/9/25
Mutual Information (MI) measures the degree of association between variables in nonlinear model as well as linear models. It can also be used to measure the dependency between variables in mixture dis...
We present a new adaptive kernel density estimator based on linear diffusion processes. The proposed estimator builds on existing ideas for adaptive smoothing by incorporating information from a pilot...
Parameters estimation of the modified Weibull distribution
Maximum likelihood least square linear failure rate
2010/9/10
Recently, Sarhan and Zaindin (2008) introduced a generalization of the Weibull distribution and named it as modified Weibull distribution. In this paper, we deal with the problem of estimating the par...