CAJ | 학술논문

研究了Class A统计物理模型,对该模型的参数估计提出了一种最大似然方法,利用FFT的优势降低运算量,通过对观测数据进行分类计算以保证精度要求,并设计了初始值估计方案.仿真实验表明,该方法精度高,迭代次数少,有较高的应用价值.
연구료Class A통계물리모형,대해모형적삼수고계제출료일충최대사연방법,이용FFT적우세강저운산량,통과대관측수거진행분류계산이보증정도요구,병설계료초시치고계방안.방진실험표명,해방법정도고,질대차수소,유교고적응용개치.
@@@@This paper investigates the Class A noise model, and proposes a method to determine parameters of the model based on maximum likelihood estimation. The method uses FFT to reduce computation complexity and enhance performance by calculating two data groups from the original observed data. A method for estimating initial values is also proposed. Simulation results show that the method has good performance with a small number of iterations, and therefore is suitable for practical applications.