Compressive sensing-based synthetic aperture radar (SAR) imaging has shown its superior capability in high-resolution image formation. However, most of those works focus on the scenes that can be sparsely represented in fixed spaces. When dealing with complicated scenes, these fixed spaces lack adaptivity in characterizing varied image contents. To solve this problem, a new compressive sensing-...

The autoregressive HMM has been shown to provide efficient parameter estimation and high-quality synthesis, but in previous experiments decision trees derived from a non-autoregressive system were used. In this paper we investigate the use of autoregressive clustering for autoregressive HMM-based speech synthesis. We describe decision tree clustering for the autoregressive HMM and highlight dif...

The nonparametric estimation(NE) of kernel polynomial regression (KPR) model is a powerful tool to visually depict the effect of covariates on response variable, when there exist unstructured and heterogeneous data. In this paper we introduce KPR model that is the mixture of nonparametric regression models with bootstrap algorithm, which is considered in a heterogeneous and unstructured framewo...

Abelian group, 278 acceptance probability, 24, 37, 246 adaptive Metropolis algorithm, 33 Akaike’s information criterion, 209, 320 alpha-beta recursion, 11, 390 annealed importance sampling, 321 aperiodic chain, 23 APF, see auxiliary particle filter AR model, see autoregressive model assumed density filtering, 17, 143, 388 autoregressive hidden Markov model, 185 autoregressive model, 4, 9, 111 a...