We analyze the degeneracy phenomenon of sequential Monte Carlo particle filters based on bayesian theorem,put focus on the key techniques(good choice of importance density and use of resampling) to reduce its effects.

For hardware implementation of resampling-the third stage of particle filter,dynamic benchmark position and dynamic threshold are introduced,extending“particle-tagging”method to process non-normalization weights directly,avoiding a large number of .

Using single frame super-resolution method and resample function,the authors produced 16 frames images which have the same resolution as input images from each input LR image and then selected images that meet the requirements from these produced images.

Sampling and Analysis for Phthalate Esters in Gas and Particle-phase;

Sampling and Sample Treating Technology of Impurities in Submarine Atmosphere;

Discussion on checking of mechanical sampling equipment of commercial coal;