3 citations · 7 across the 12 of their papers we have counts for
12 papers
Statistical learning for train delays and influence of winter climate and atmospheric icing
Jianfeng Wang, Roberto Mantas Nakhai, Jun Yu
This study investigated the climate effect under consecutive winters on the arrival delay of high-speed passenger trains in northern Sweden. Novel statistical learning approaches,…
Train performance analysis using heterogeneous statistical models
Jianfeng Wang, Jun Yu
This study investigated the effect of harsh winter climate on the performance of high speed passenger trains in northern Sweden. Novel approaches based on heterogeneous statistical…
Minimization of the -ratio sparsity with for signal recovery
Zhiyong Zhou, Jun Yu
In this paper, we propose a general scale invariant approach for sparse signal recovery via the minimization of the -ratio sparsity. When , both the theoretic…
Effects of winter climate on high speed passenger trains in Botnia-Atlantica region
Jianfeng Wang, Markus Granlöf, Jun Yu
Harsh winter climate can cause various problems for both public and private sectors in Sweden, especially in the northern part for railway industry. To have a better understanding…
Statistical inference for block sparsity of complex signals
Jianfeng Wang, Zhiyong Zhou, Jun Yu
Block sparsity is an important parameter in many algorithms to successfully recover block sparse signals under the framework of compressive sensing. However, it is often unknown an…
Enhanced block sparse signal recovery based on -ratio block constrained minimal singular values
Jianfeng Wang, Zhiyong Zhou, Jun Yu
In this paper we introduce the -ratio block constrained minimal singular values (BCMSV) as a new measure of measurement matrix in compressive sensing of block sparse/compressive…