R. Rao, R. Ramkumar, V. R. Vandana, P. Prabhavathi
{"title":"基于180nm技术的压缩感知","authors":"R. Rao, R. Ramkumar, V. R. Vandana, P. Prabhavathi","doi":"10.1109/RTEICT46194.2019.9016913","DOIUrl":null,"url":null,"abstract":"The natural analog signals available have to be converted into digital form to avoid losses during transmission, so that it can be processed by the devices easily. This process of conversion is called sampling. For accurate sampling and reconstruction of a signal it must be sampled at a rate at least equal to or greater than twice the highest frequency of the input signal, which is termed as the Shannon-Nyquist criteria. The main hardware component, the Analog-to-Digital converter (ADC) for sampling is quite challenging to build. Compressive sensing which does compression and sampling at the same time helps to overcome this hardware limitation. It samples the signal by enabling the sub Nyquist under sampling technique. The main idea is to obtain the specific signal by just a few samples, as a result reducing the power consumed and the cost involved for the same as compared to conventional Shannon-Nyquist Sampling process.","PeriodicalId":269385,"journal":{"name":"2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Compressive Sensing Using 180 nm Technology\",\"authors\":\"R. Rao, R. Ramkumar, V. R. Vandana, P. Prabhavathi\",\"doi\":\"10.1109/RTEICT46194.2019.9016913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The natural analog signals available have to be converted into digital form to avoid losses during transmission, so that it can be processed by the devices easily. This process of conversion is called sampling. For accurate sampling and reconstruction of a signal it must be sampled at a rate at least equal to or greater than twice the highest frequency of the input signal, which is termed as the Shannon-Nyquist criteria. The main hardware component, the Analog-to-Digital converter (ADC) for sampling is quite challenging to build. Compressive sensing which does compression and sampling at the same time helps to overcome this hardware limitation. It samples the signal by enabling the sub Nyquist under sampling technique. The main idea is to obtain the specific signal by just a few samples, as a result reducing the power consumed and the cost involved for the same as compared to conventional Shannon-Nyquist Sampling process.\",\"PeriodicalId\":269385,\"journal\":{\"name\":\"2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTEICT46194.2019.9016913\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTEICT46194.2019.9016913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The natural analog signals available have to be converted into digital form to avoid losses during transmission, so that it can be processed by the devices easily. This process of conversion is called sampling. For accurate sampling and reconstruction of a signal it must be sampled at a rate at least equal to or greater than twice the highest frequency of the input signal, which is termed as the Shannon-Nyquist criteria. The main hardware component, the Analog-to-Digital converter (ADC) for sampling is quite challenging to build. Compressive sensing which does compression and sampling at the same time helps to overcome this hardware limitation. It samples the signal by enabling the sub Nyquist under sampling technique. The main idea is to obtain the specific signal by just a few samples, as a result reducing the power consumed and the cost involved for the same as compared to conventional Shannon-Nyquist Sampling process.