{"title":"Density Function of Weighted Sum of Chi-Square Variables with Trigonometric Weights","authors":"V. I. Egorov, B. V. Kryzhanovsky","doi":"10.3103/S1060992X23010071","DOIUrl":null,"url":null,"abstract":"<p>We have investigated a weighted chi-square distribution of the variable ξ which is a weighted sum of squared normally distributed independent variables whose weights are cosines of angles <span>\\({{\\varphi }_{k}} = {{2\\pi k} \\mathord{\\left/ {\\vphantom {{2\\pi k} N}} \\right. \\kern-0em} N},\\)</span> where <span>\\(k \\in \\left\\{ {0,1,...,N - 1} \\right\\}\\)</span> and <i>N</i> is the number of the freedom degrees. We have found the exact expression for the density function of this distribution and its approximation for large <i>N</i>. The distribution is compared with the Gaussian distribution.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"32 1","pages":"14 - 19"},"PeriodicalIF":1.0000,"publicationDate":"2023-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Memory and Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S1060992X23010071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0
Abstract
We have investigated a weighted chi-square distribution of the variable ξ which is a weighted sum of squared normally distributed independent variables whose weights are cosines of angles \({{\varphi }_{k}} = {{2\pi k} \mathord{\left/ {\vphantom {{2\pi k} N}} \right. \kern-0em} N},\) where \(k \in \left\{ {0,1,...,N - 1} \right\}\) and N is the number of the freedom degrees. We have found the exact expression for the density function of this distribution and its approximation for large N. The distribution is compared with the Gaussian distribution.
期刊介绍:
The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.