基于量子计算的概率密度函数估计
Quantum Computation Based Probability Density Function Estimation
摘要：
在不久的将来，信号处理技术将依赖于盲方法，其中不会通过信道传输冗余的资源分配信息。然而，为了实现正确的决策，必须至少知道概率密度函数（pdf），估计该概率密度函数通常是耗时的和/或不太准确的硬任务，其可能使决策失败。本文还通过一个例子描述了一种量子辅助概率密度函数估计方法的设计，该方法通过适当地设置参数可以非常快速地获得精确的概率密度函数。
英文摘要：
Signal processing techniques will lean on blind methods in the near future, where no redundant, resource allocating information will be transmitted through the channel. To achieve a proper decision, however, it is essential to know at least the probability density function (pdf), which to estimate is classically a time consumption and/or less accurate hard task, that may make decisions to fail. This paper describes the design of a quantum assisted pdf estimation method also by an example, which promises to achieve the exact pdf by proper setting of parameters in a very fast way.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
