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为降低OOFDM（光正交频分复用）系统中的高PAPR（峰均功率比）,文章提出了一种基于非对称限幅法的抑制算法,其核心思想是通过门限电平去除信号负项并对信号峰值进行限幅,产生满足OOFDM系统要求的正、实基带信号,同时联合滤波技术避免较大PAPR的出现。仿真结果表明,该方法既能有效地改善PAPR特性,又能保证系统获得可靠的误码率性能。

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The use of current rules and regulations of zoning and the classification of territorial space are the major reforms. This paper expounds the connotations of zoning and classification, their relationship, and the theoretical basis of zoning and classification regulation. The regulatory rule system has been constructed in five dimensions, including regulatory objectives, access lists, constraint indicators, use conversion, approval, and licensing. Based on this study, the rules and regulations of land ecology and agricultural space are proposed, and they are expected to provide reference for relevant policy formulation. [ABSTRACT FROM AUTHOR]

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There are few studies on the problem of stochastic resource-constrained distributed multi-project scheduling (SDRCMPSP） and most of them are static scheduling schemes, which cannot adjust and optimize the strategy in real time according to changes in the environment and respond to frequent dynamic factors in a timely manner. Therefore, this paper established a stochastic resource-constrained multi-project dynamic scheduling DRL model with the goal of minimizing the total drag cost, design the corresponding agent interaction environment, and use the DDDQN algorithm in reinforcement learning to solve the model. The experiment first analyzes the hyperparameters of the algorithm, and then trains and tests the model under two different conditions of variable activity duration and uncertain arrival time, and the results show that the deep reinforcement learning algorithm can obtain scheduling results that are better than any single rule, effectively reduce the total drag-off cost of random resources limited multi-project expectations, and provide a good basis for multi-project scheduling decision optimization. [ABSTRACT FROM AUTHOR]

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