numerical bayesian methods applied to signal processing (Verlag GmbH)
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numerical bayesian methods applied to signal processing
Numerical Bayesian Methods Applied To Signal Processing, supplied by Verlag GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bayesian+methods/numerical+bayesian+methods+applied+to+signal+processing/pm32873013-707-5-7
Average 90 stars, based on 1 article reviews
Numerical Bayesian Methods Applied To Signal Processing, supplied by Verlag GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bayesian+methods/numerical+bayesian+methods+applied+to+signal+processing/pm32873013-707-5-7
Average 90 stars, based on 1 article reviews
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2026-09
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other:Article Title: Method for detecting and locating a target using phase information Article Snippet: J. J. K. Ó Ruanaidh and W. J. Fitzgerald, Numerical Bayesian Methods Applied to Signal Processing (Springer Verlag, 1996). Article Title: Evaluation of disfluent speech by means of automatic acoustic measurements. Article Snippet: An experiment was carried out to determine whether the level of the speech fluency disorder can be estimated by means of automatic acoustic measurements.. These measures analyze, for example, the amount of silence in a recording or the number of abrupt spectral changes in a speech signal.. All the measures were designed to take into account symptoms of stuttering. Article Title: Model-based Bayesian analysis in acoustics-A tutorial. Article Snippet: Article Title: Method of locating the position of a microcalcification in a human breast Article Snippet: [2] J. J. K. Ó Ruanaidh and W. J. Fitzgerald, Numerical Bayesian Methods Applied to Signal Processing (Springer Verlag, 1996). Article Title: Bayesian multiple-source localization in an uncertain ocean environment. Article Snippet: This paper considers simultaneous localization of multiple acoustic sources when properties of the ocean environment (water column and seabed) are poorly known.. A Bayesian formulation is developed in which the environmental parameters, noise statistics, and locations and complex strengths (amplitudes and phases) of multiple sources are considered to be unknown random variables constrained by acoustic data and prior information.. Two approaches are considered for estimating source parameters. Article Title: Bayesian characterization of multiple-slope sound energy decays in coupled-volume systems. Article Snippet: Due to recent developments in concert hall design, there is an increasing interest in the analysis of sound energy decays consisting of multiple exponential decay rates.. It has been considered challenging to estimate parameters associated with double-rate (slope) decay characteristics, and even more challenging when the coupled-volume systems contain more than two decay processes.. To meet the need of characterizing energy decays of multiple decay processes, this work investigates coupled-volume systems using acoustic scale-models of three coupled rooms. Article Title: Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated Parkinson's disease. Article Snippet: An assessment of vocal impairment is presented for separating healthy people from persons with early untreated Parkinson’s disease (PD).. This study’s main purpose was to (a) determine whether voice and speech disorder are present from early stages of PD before starting dopaminergic pharmacotherapy, (b) ascertain the specific characteristics of the PD-related vocal impairment, (c) identify PD-related acoustic signatures for the major part of traditional clinically used measurement methods with respect to their automatic assessment, and (d) design new automatic measurement methods of articulation.. The varied speech data were collected from 46 Czech native speakers, 23 with PD. Article Title: Accelerated training of a machine learning based model for semiconductor applications Article Snippet: The computer subsystem(s) may also be configured to perform the variational Bayes method as described in “The Variational Bayes Method in Signal Processing,” |