{"title":"Vlsi实现非线性可变截止高通滤波算法","authors":"O. KalaiPriya, S. Ramasamy, D. Ebenezer","doi":"10.1109/ICECTECH.2011.5941753","DOIUrl":null,"url":null,"abstract":"The focus of this paper is the actual implementation of the algorithm onto FPGA hardware. A simple nonlinear median based high pass filter algorithm has been implemented using Xilinx ISE 12.2 targeted for FPGA — xc6slx4–3tqg144. The filter structure consists of a median filter followed by a high pass filter. The signal to be filtered is the input to median filter and its output becomes the input to high pass filter. The high pass filter algorithm identifies and separates the high frequency components by sliding a time ordered window of size-3 over the median filter's output samples. This high pass filter preserves the details of filtered low frequency components for reconstruction and not lost as in the case of conventional high pass filter. The hardware performance is studied using Spartan 6.","PeriodicalId":184011,"journal":{"name":"2011 3rd International Conference on Electronics Computer Technology","volume":"131 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Vlsi implementation of nonlinear variable cutoff high pass filter algorithm\",\"authors\":\"O. KalaiPriya, S. Ramasamy, D. Ebenezer\",\"doi\":\"10.1109/ICECTECH.2011.5941753\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The focus of this paper is the actual implementation of the algorithm onto FPGA hardware. A simple nonlinear median based high pass filter algorithm has been implemented using Xilinx ISE 12.2 targeted for FPGA — xc6slx4–3tqg144. The filter structure consists of a median filter followed by a high pass filter. The signal to be filtered is the input to median filter and its output becomes the input to high pass filter. The high pass filter algorithm identifies and separates the high frequency components by sliding a time ordered window of size-3 over the median filter's output samples. This high pass filter preserves the details of filtered low frequency components for reconstruction and not lost as in the case of conventional high pass filter. The hardware performance is studied using Spartan 6.\",\"PeriodicalId\":184011,\"journal\":{\"name\":\"2011 3rd International Conference on Electronics Computer Technology\",\"volume\":\"131 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 3rd International Conference on Electronics Computer Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECTECH.2011.5941753\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3rd International Conference on Electronics Computer Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECTECH.2011.5941753","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
摘要
本文的重点是该算法在FPGA硬件上的实际实现。采用Xilinx ISE 12.2实现了一种简单的非线性中值高通滤波算法,该算法针对FPGA - xc6slx4-3tqg144实现。滤波器结构由中值滤波器和高通滤波器组成。待滤波信号是中值滤波器的输入,其输出成为高通滤波器的输入。高通滤波器算法通过在中值滤波器的输出样本上滑动大小为3的时间顺序窗口来识别和分离高频分量。这种高通滤波器保留了用于重建的滤波低频分量的细节,而不会像传统高通滤波器那样丢失。使用Spartan 6对硬件性能进行了研究。
Vlsi implementation of nonlinear variable cutoff high pass filter algorithm
The focus of this paper is the actual implementation of the algorithm onto FPGA hardware. A simple nonlinear median based high pass filter algorithm has been implemented using Xilinx ISE 12.2 targeted for FPGA — xc6slx4–3tqg144. The filter structure consists of a median filter followed by a high pass filter. The signal to be filtered is the input to median filter and its output becomes the input to high pass filter. The high pass filter algorithm identifies and separates the high frequency components by sliding a time ordered window of size-3 over the median filter's output samples. This high pass filter preserves the details of filtered low frequency components for reconstruction and not lost as in the case of conventional high pass filter. The hardware performance is studied using Spartan 6.