Abstract: Sparsity-induced kernel adaptive filters have emerged as a promising candidate for a nonlinear sparse system identification (SSI) problem. The existing zero-attracting kernel least mean ...
Abstract: A new code-block index-modulation-aided differential chaotic shift keying system based on sparse code multiple access, referred to as CBI-SCMA-DCSK, is proposed in this paper. With the aim ...
OS-R1 is an agentic Linux kernel tuning framework that leverages reinforcement learning (RL) and large language models (LLMs) for efficient kernel configuration. It introduces a rule-based RL approach ...
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