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Found 5 papers, 0 papers with code
Deep Multi-Scale Representation Learning with Attention for Automatic Modulation Classification
In this report, we find some experienced improvements by using large kernel size for convolutional deep convolution neural network based AMC, which is more efficient in extracting multi-scale features of the raw signal I/Q sequence data.
Mixed Strategies for Security Games with General Defending Requirements
In this work, we initiate the study of mixed strategies for the security games in which the targets can have different defending requirements.
Analysis and Design of Partially Information- and Partially Parity-Coupled Turbo Codes
In this paper, we study a class of spatially coupled turbo codes, namely partially information- and partially parity-coupled turbo codes.
Information Theory Signal Processing Information Theory
Budget-feasible Maximum Nash Social Welfare Allocation is Almost Envy-free
The Nash social welfare (NSW) is a well-known social welfare measurement that balances individual utilities and the overall efficiency.
Fairness
Computer Science and Game Theory
Multiagent Systems
Defending with Shared Resources on a Network
For the case when defending resources cannot be shared, we present a max-flow-based exact algorithm.
