Now showing items 1-10 of 189
Modeling and joint estimation of glottal source and vocal tract filter by state-space methods
Accurate estimation of the glottal source from a voiced sound is a difficult blind separation problem in speech signal processing. In this work, state-space methods are investigated to enhance the joint estimation of the ...
Using state-space techniques to represent frequency dependent single-phase lines directly in time domain
This paper proposes to use a state-space technique to represent a frequency dependent line for simulating electromagnetic transients directly in time domain. The distributed nature of the line is represented by a multiple ...
A state-space modeling approach for active structural acoustic control
(IOS PRESS, 2009)
The demands for improvement in sound quality and reduction of noise generated by vehicles are constantly increasing, as well as the penalties for space and weight of the control solutions. A promising approach to cope with ...
Inferring Spatial Structure from Time-Series Data: Using Multivariate State-Space Models to Detect Metapopulation Structure of California sea Lions in the Gulf of California, Mexico.
(Journal of Applied Ecology, 2010-01-01)
1. Understanding spatial structure and identifying subpopulations are critical for estimating population growth rates and extinction risk, and as such essential for effective conservation planning. However, movement and ...
Estimating Brazilian Monthly GDP: a State-Space Approach
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2013-04-05)
This paper has several original contributions. The first is to employ a superior interpolation method that enables to estimate, nowcast and forecast monthly Brazilian GDP for 1980-2012 in an integrated way; see Bernanke, ...
Estimating model-error covariances in nonlinear state-space models using Kalman smoothing and the expectation-maximization algorithm
Specification and tuning of errors from dynamical models are important issues in data assimilation. In this work, we propose an iterative expectation-maximization (EM) algorithm to estimate the model-error covariances using ...
Rabbit: A novel approach to find data-races during state-space explorationRabbit: A novel approach to find data-races during state-space exploration
(Universidade Federal de Pernambuco, 2015)
State-Space Approach to Structural Representation of Perturbed Pitch Period Sequences in Voice Signals
Objectives: The aim of this study was to propose a state space-based approach to model perturbed pitch period sequences (PPSs), extracted from real sustained vowels, combining the principal features of disturbed real PPSs ...
Proposal of an alternative transmission line model for symmetrical and asymmetrical configurations
(Elsevier B.V., 2011-10-01)
This article shows a transmission line model for simulation of fast and slow transients, applied to symmetrical or asymmetrical configurations. A transmission line model is developed based on lumped elements representation ...
Identification of continuous-time state-space models from non-uniform fast-sampled data
(INST ENGINEERING TECHNOLOGY-IET, 2011)