Chandan Banerjee, Gaurav Pandey, Hemant Kr. Namdeo
{"title":"低通滤波与计算成本","authors":"Chandan Banerjee, Gaurav Pandey, Hemant Kr. Namdeo","doi":"10.1109/ICSAP.2010.75","DOIUrl":null,"url":null,"abstract":"In this paper we are dealing with a linearly swept-frequency cosine signal so called “chirp” function. We are generating an image row of the same function of required frequency (frequency f = 1 ... around 256 pixel/period, amplitude = 1). After that we are stacking 20 rows to generate a strip image and then we are applying different low pass filters and calculating the attenuation i.e., damping pixel by pixel. On the same time we are calculating computing effort throughout the all processes and comparing all results. We can also analyze iterative convoluted filters, which is more useful than conventional binomial filters.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"190 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Low Pass Filtering and Computing Cost\",\"authors\":\"Chandan Banerjee, Gaurav Pandey, Hemant Kr. Namdeo\",\"doi\":\"10.1109/ICSAP.2010.75\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we are dealing with a linearly swept-frequency cosine signal so called “chirp” function. We are generating an image row of the same function of required frequency (frequency f = 1 ... around 256 pixel/period, amplitude = 1). After that we are stacking 20 rows to generate a strip image and then we are applying different low pass filters and calculating the attenuation i.e., damping pixel by pixel. On the same time we are calculating computing effort throughout the all processes and comparing all results. We can also analyze iterative convoluted filters, which is more useful than conventional binomial filters.\",\"PeriodicalId\":303366,\"journal\":{\"name\":\"2010 International Conference on Signal Acquisition and Processing\",\"volume\":\"190 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-02-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Signal Acquisition and Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSAP.2010.75\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Signal Acquisition and Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAP.2010.75","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we are dealing with a linearly swept-frequency cosine signal so called “chirp” function. We are generating an image row of the same function of required frequency (frequency f = 1 ... around 256 pixel/period, amplitude = 1). After that we are stacking 20 rows to generate a strip image and then we are applying different low pass filters and calculating the attenuation i.e., damping pixel by pixel. On the same time we are calculating computing effort throughout the all processes and comparing all results. We can also analyze iterative convoluted filters, which is more useful than conventional binomial filters.