面向计算机随机信号的控制组合数学模型算法分析  

Algorithm analysis of computer stochastic signal control combination mathematical model

作　　者：李晓辉[1] Li Xiaohui(Office of Academic Research,Baoji Education Institute of Shaanxi Province, Shaanxi Baoji, 721004, China)

机构地区：[1]陕西省宝鸡教育学院科研处,陕西宝鸡721004

出　　处：《机械设计与制造工程》2021年第9期124-126,共3页Machine Design and Manufacturing Engineering

摘　　要：随着信息技术的快速发展,个人计算机得到广泛使用。计算机输出的数字信号不能直接使用,需经过相关处理。传统随机信号处理的数学模型精准度不高,易造成信号失真。采用数学建模的研究方法,将控制组合算法与数学模型相结合,并且在数学模型中引入了功率谱密度函数。结果显示,控制组合算法显著提升了随机信号的控制精度和实时性。相比于传统模型,控制组合数学模型实现了对计算机随机信号的快速收敛,提高了计算机的控制效率,该控制组合数学模型算法对相关技术领域的发展有较高的研究价值和指导意义。The digital signal output by the computer can not be used directly and can only be used after processing.The accuracy of the mathematical model of traditional random signal processing is not high,which is easy to cause signal distortion.Using the research method of mathematical modeling,the control combination algorithm is combined with the mathematical model,and the power spectral density function is introduced into the mathematical model.The results show that the control combination algorithm significantly improves the control accuracy and real-time performance of random signals.Compared with the traditional model,the control combinatorial mathematical model realizes the rapid convergence of the computer random signal and improves the computer control efficiency.The control combinatorial mathematical model algorithm has high research value and guiding significance for the development of related technical fields.

关 键 词：计算机随机信号 量化 数学模型 控制组合 功率谱密度 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]