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Feature Selection With Redundancy-Constrained Class Separability, Luping Zhou, Lei Wang, Chunhua Shen
Feature Selection With Redundancy-Constrained Class Separability, Luping Zhou, Lei Wang, Chunhua Shen
Faculty of Engineering and Information Sciences - Papers: Part A
Scatter-matrix-based class separability is a simple and efficient feature selection criterion in the literature. However, the conventional trace-based formulation does not take feature redundancy into account and is prone to selecting a set of discriminative but mutually redundant features. In this brief, we first theoretically prove that in the context of this trace-based criterion the existence of sufficiently correlated features can always prevent selecting the optimal feature set. Then, on top of this criterion, we propose the redundancy-constrained feature selection (RCFS). To ensure the algorithm's efficiency and scalability,we study the characteristic of the constraints with which the resulted constrained 0-1 …
Gmp‐Based Channel Estimation For Single‐Carrier Transmissions Over Doubly Selective Channels, Qinghua Guo, Defeng (David) Huang
Gmp‐Based Channel Estimation For Single‐Carrier Transmissions Over Doubly Selective Channels, Qinghua Guo, Defeng (David) Huang
Faculty of Engineering and Information Sciences - Papers: Part A
We present a graph-based channel estimation approach for SC-IFDE (single-carrier transmissions with iterative frequency domain equalization) without CP (cyclic prefix) over doubly selective channels using the recently developed Gaussian message passing (GMP) technique. A direct application of the GMP updating rules in the FFG (Forney-style factor graph) of the SC-IFDE system model incurs high complexity. Approximate updating rules are therefore developed to overcome this problem. The proposed GMP-based channel estimation approach has similar complexity as the low-complexity Kalman-filtering based frequency domain channel estimation approach in the literature, but significantly outperforms the latter due to its enhanced capability in capturing the …