{"title":"实现了收缩正常方程的自适应解","authors":"P Comon, Y Robert, D Trystram","doi":"10.1016/0734-189X(90)90083-8","DOIUrl":null,"url":null,"abstract":"<div><p>We are interested in the systolic computation of projection operators entering digital signal processing, or more precisely, solution of the so-called normal equations involved in adaptive systems. The systolic array proposed achieves a real-time adaptive solution, i.e., updates the left- and right-hand sides of the linear equation and computes its solution at each time step.</p></div>","PeriodicalId":100319,"journal":{"name":"Computer Vision, Graphics, and Image Processing","volume":"52 3","pages":"Pages 402-408"},"PeriodicalIF":0.0000,"publicationDate":"1990-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0734-189X(90)90083-8","citationCount":"0","resultStr":"{\"title\":\"Systolic implementation of the adaptive solution to normal equations\",\"authors\":\"P Comon, Y Robert, D Trystram\",\"doi\":\"10.1016/0734-189X(90)90083-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We are interested in the systolic computation of projection operators entering digital signal processing, or more precisely, solution of the so-called normal equations involved in adaptive systems. The systolic array proposed achieves a real-time adaptive solution, i.e., updates the left- and right-hand sides of the linear equation and computes its solution at each time step.</p></div>\",\"PeriodicalId\":100319,\"journal\":{\"name\":\"Computer Vision, Graphics, and Image Processing\",\"volume\":\"52 3\",\"pages\":\"Pages 402-408\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0734-189X(90)90083-8\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Vision, Graphics, and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0734189X90900838\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Vision, Graphics, and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0734189X90900838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Systolic implementation of the adaptive solution to normal equations
We are interested in the systolic computation of projection operators entering digital signal processing, or more precisely, solution of the so-called normal equations involved in adaptive systems. The systolic array proposed achieves a real-time adaptive solution, i.e., updates the left- and right-hand sides of the linear equation and computes its solution at each time step.