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  • 标题:Design of Low Complexity Programmable Fir Filters Based On ECG Compression by Using the Discrete Wavelet Transform
  • 本地全文:下载
  • 作者:Jeya Shenbagavalli.J ; M.Ashok Kumar
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2016
  • 卷号:4
  • 期号:2
  • 页码:1804
  • DOI:10.15680/IJIRCCE.2016.0402180
  • 出版社:S&S Publications
  • 摘要:This project presents FPGA design of ECG compression by using the Discrete Wavelet Transform(DWT) with FIR. Unlike the classical works based on off-line mode, the current work allows the real-time processingof the ECG signal to reduce the redundant information. A model is developed for a fixed-point convolution schemewhich has a good performance in relation to the throughput, the latency, the maximum frequency of operation and thequality of the compressed signal. The quantization of the coefficients of the filters and the selected fixed-threshold givea low error in relation to clinical applications. Low-cost finite impulse response (FIR) designs are presented for thisproject. We jointly consider the optimization of bit width and hardware resources without sacrificing the frequencyresponse and output signal precision. No uniform coefficient quantization with proper filter order is proposed tominimize total area cost. Multiple constant multiplication / accumulation in a direct FIR structure are implementedusing an improved version of truncated multipliers
  • 关键词:DWT;FIR;ECG
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