Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/228196
Title: Filter Design Using Evolutionary Technique for Biomedical Signals
Researcher: Verma Agya Ram
Guide(s): Singh Yashvir
Keywords: Engineering and Technology,Engineering,Engineering Electrical and Electronic
PSO, MPSO, MCS, ABC-MR, BFO, ANC
University: Uttarakhand Technical University
Completed Date: 13-7-2017
Abstract: newline The design of ANC filter using BFO algorithm is also presented for de noising of ECG signal. This ANC filter provides 6 dB improvement in output SNR 85 reduction in normalised MSE and 90 lower normalised root ME with better coherence between pure an reconstructed ECG signal as compared to the reported ANC filter based on algorithm. The design of ANC filter using bounded range ABC optimization technique is proposed. The noise attenuation capability is tested on EMG signal contaminated with power line and ECG noise at different SNR levels. A comparative study of various techniques reveals that the performance of BRABC algorithm is better in noisy environment of EMG signal. The ANC filter using BRABC technique provides 15 dB improvement in output average SNR 63 and 83 reduction in MSE and ME respectively with increased correlation between output and pure EMG signal when compared to the ANC filter based on PSO technique. An algorithm for design of two channel linear phase quadrature mirror filter bank with MPSO algorithm is proposed. The design problem is formulated to minimize an objective function which is a linear combination of pass band error and stop band error of the low-pass analysis filter of the filter bank, and the square error of the overall transfer function of the QMF bank at the quadrature frequency. newlineMoreover the BFO technique is also implemented in the design of a multi channel cosine modulated filter bank. In this work the canonic signed digit technique is used to optimize the filter coefficients. At pass band frequency the magnitude response of the proposed filter bank is near to that of a perfect filter. newline newline newline
Pagination: 146 Pages
URI: http://hdl.handle.net/10603/228196
Appears in Departments:Department of Electronics and Communication Engineering

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03-contents.pdfAttached File532.49 kBAdobe PDFView/Open
04-list of tables.pdf189.62 kBAdobe PDFView/Open
05-list of figures.pdf1.01 MBAdobe PDFView/Open
06-acknowlegdement.pdf13.73 kBAdobe PDFView/Open
07 �chapter 1.pdf773.36 kBAdobe PDFView/Open
08- chapter 2.pdf167.64 kBAdobe PDFView/Open
09- chapter 3.pdf3.62 MBAdobe PDFView/Open
10- chapter 4.pdf721.96 kBAdobe PDFView/Open
11- chapter 5.pdf1.87 MBAdobe PDFView/Open
12- chapter 6.pdf101.55 kBAdobe PDFView/Open
13-appendix.pdf14.24 kBAdobe PDFView/Open
14-publication.pdf16.94 kBAdobe PDFView/Open
15-refrences.pdf74.41 kBAdobe PDFView/Open
1 title page.pdf338.85 kBAdobe PDFView/Open
2-certificate.pdf1.03 MBAdobe PDFView/Open


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