{"title":"收缩阵列概念及其在线性代数和信号处理中的应用综述","authors":"K. Yao, F. Lorenzelli","doi":"10.1109/ASAP.2006.13","DOIUrl":null,"url":null,"abstract":"Modern communication, control, avionic, and radar systems require the use of computationally intensive algebraic operations for real-time high throughput filtering, estimation, tracking, direction-of-arrival, and localization purposes. In this overview paper, we first review some basic systolic array (SA) concept, then SA algorithms for digital filtering, recursive least-squares, QR decomposition, Kalman filtering, eigenvalue and singular value decompositions will be discussed.","PeriodicalId":6642,"journal":{"name":"2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP)","volume":"127 4 1","pages":"213"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Overview of Systolic Array Concepts and Applications for Linear Algebra and Signal Processing\",\"authors\":\"K. Yao, F. Lorenzelli\",\"doi\":\"10.1109/ASAP.2006.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern communication, control, avionic, and radar systems require the use of computationally intensive algebraic operations for real-time high throughput filtering, estimation, tracking, direction-of-arrival, and localization purposes. In this overview paper, we first review some basic systolic array (SA) concept, then SA algorithms for digital filtering, recursive least-squares, QR decomposition, Kalman filtering, eigenvalue and singular value decompositions will be discussed.\",\"PeriodicalId\":6642,\"journal\":{\"name\":\"2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP)\",\"volume\":\"127 4 1\",\"pages\":\"213\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASAP.2006.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.2006.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Overview of Systolic Array Concepts and Applications for Linear Algebra and Signal Processing
Modern communication, control, avionic, and radar systems require the use of computationally intensive algebraic operations for real-time high throughput filtering, estimation, tracking, direction-of-arrival, and localization purposes. In this overview paper, we first review some basic systolic array (SA) concept, then SA algorithms for digital filtering, recursive least-squares, QR decomposition, Kalman filtering, eigenvalue and singular value decompositions will be discussed.
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