{"title":"从其自相关函数和一个样本重构离散信号","authors":"Zhongze Wu, Yanda Li, Tong Chang","doi":"10.1109/ICASSP.1987.1169525","DOIUrl":null,"url":null,"abstract":"This work follows the 'Discrete Signal Reconstruction from its Spectral Magnitude and Some Samples'[1]. The uniqueness of the discrete signal reconstruction from its autocorrelation function and one sample has been discussed in detail in this paper. Four theorems are presented. In addition, we provide an effective iterative algorithm recovering the discrete signal.","PeriodicalId":140810,"journal":{"name":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1987-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Discrete signal reconstruction from its autocorrelation function and one sample\",\"authors\":\"Zhongze Wu, Yanda Li, Tong Chang\",\"doi\":\"10.1109/ICASSP.1987.1169525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work follows the 'Discrete Signal Reconstruction from its Spectral Magnitude and Some Samples'[1]. The uniqueness of the discrete signal reconstruction from its autocorrelation function and one sample has been discussed in detail in this paper. Four theorems are presented. In addition, we provide an effective iterative algorithm recovering the discrete signal.\",\"PeriodicalId\":140810,\"journal\":{\"name\":\"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1987-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1987.1169525\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1987.1169525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Discrete signal reconstruction from its autocorrelation function and one sample
This work follows the 'Discrete Signal Reconstruction from its Spectral Magnitude and Some Samples'[1]. The uniqueness of the discrete signal reconstruction from its autocorrelation function and one sample has been discussed in detail in this paper. Four theorems are presented. In addition, we provide an effective iterative algorithm recovering the discrete signal.