Multichannel Consistent Sampling and Reconstruction associated with Linear Canonical Transform

Liyun Xu, Ran Tao, Feng Zhang

Multichannel sampling is fundamental in the theory of multichannel parallel analog-to-digital converters (ADC) and multiplexing wireless communication. This letter investigates the multichannel consistent

IEEE signal processing letters,2017, 24(5): 658-662.

Fractional spectral analysis of randomly sampled signals and applications

Liyun Xu, Feng Zhang, Ran Tao

Nonuniform sampling can be utilized to achieve certain desirable results. Periodic nonuniform sampling can decrease the required sampling rate for signals. Random sampling can be used as a digital alias-free signal

IEEE transactions on Instrumentation & Measurement,2017 ,99, 1-13 .

Fusing complete monotonic decision trees

Hang Xu, Wenjian Wang, Yuhua Qian

Monotonic classification is a kind of classification task in which a monotonicity constraint exist between features and class, i.e., if sample xi has a higher value in each feature than sample xj

IEEE Transactions on Knowledge and Data Engineering, 2017, 29(10), 2223 - 2235.

A multiple-valued logic approach for multigranulation rough set model

Yanhong She, Xiaoli He, Huixian Shi, Yuhua Qian

Rough sets have often been studied under a three-valued logic framework. In this paper, we attempt to extend the previous study in two ways. Firstly, we extend the previous study from single-granulation to multigranulation.

International Journal of Approximate Reasoning, 2017, 82, 270-284.

Grouping granular structures in human granulation intelligence

Yuhua Qian, Honghong Cheng, Jieting Wang, Jiye Liang

Human granulation intelligence means that people can observe and analyze the same problem from various granulation points of view, which generally acknowledge an essential feature of human intelligence.

Information Sciences, 2017, 382-382, 150-169.

Multigranulation information fusion: a Dempster-Shafer evidence theory-based clustering ensemble method.

Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang

Clustering analysis is a fundamental technique in machine learning,which is also widely used in information granulation. Multiple clustering systems granulate a data set into multiple granular structures.

Information Sciences, 2017, 378, 309-409.

Local multigranulation decision-theoretic rough sets

Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang

Multigranulation rough sets (MGRSs) where a target concept is approximated by granular structures induced by multiple binary relations have been applied successfully in many domains but they are still affected by two issues.

International Journal of Approximate Reasoning, 2017, 82, 119-137.