8 search results - page 1 / 2 » Sequential Monte Carlo method for parameter estimation in di... |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Estimation of the amounts of target molecules in realtime affinity-based biosensors is studied. The problem is mapped to inferring the parameters of a temporally sampled diffusio...
SAC
2008
ACM
13 years 7 months ago
2008
ACM
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
NIPS
2001
13 years 8 months ago
2001
We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Radio Frequency (RF) tomographic tracking is the process of tracking moving targets by analyzing changes of attenuation in wireless transmissions. This paper presents a novel sequ...
TASLP
2002
13 years 7 months ago
2002
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...