8 search results - page 1 / 2 » Sequential Monte Carlo method for parameter estimation in di... |
ICASSP
2011
IEEE
12 years 9 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 4 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 6 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 9 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 4 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...