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Yadav, P.
- Analysis of Adaptive Filter Algorithms using MATLAB
Abstract Views :218 |
PDF Views:1
Authors
Affiliations
1 All Saint College of Technology Bhopal-462031, IN
2 AISECT University, Bhopal-Chiklod Road, Raisen, Bhopal, IN
3 Dept of Electronics and Communication, UIT, Rajiv Gandhi Proudyogiki Vishwavidyalaya, RGPV, Bhopal - 462031, IN
1 All Saint College of Technology Bhopal-462031, IN
2 AISECT University, Bhopal-Chiklod Road, Raisen, Bhopal, IN
3 Dept of Electronics and Communication, UIT, Rajiv Gandhi Proudyogiki Vishwavidyalaya, RGPV, Bhopal - 462031, IN
Source
Wireless Communication, Vol 4, No 13 (2012), Pagination: 737-742Abstract
In recent years, adaptive filtering has become one of the effective and popular approaches for the processing and analysis of the signals with noise especially of the biomedical signals. Adaptive filters permit to detect time varying potentials and to track the dynamic variations of the signals. Besides, they modify their behavior according to the input signal. Therefore, they can detect shape variations in the ensemble and thus they can obtain a better signal estimation. The aim of this paper is to study, analyze various adaptive filter algorithms and apply Mat lab to investigate their performance behaviors with two step sizes of 0.02 and 0.04. Further to remove motion artifacts from Electrocardiogram signal as an application of this concepts. At the end of this paper, a performance study has been done between these algorithms based on various step sizes. It has been found that there will be always tradeoff between step sizes and Mean square error. The Electrocardiogram signals used in this paper are from the MIT-BIH database. Elimination of noises from Electrocardiogram signal example is a classical problem.Keywords
Adaptive Filter, Least Mean Square (LMS), Normalized Lms (NLMS), Block Lms (BLMS), Sign Lms (SLMS), Signed Regressor Lms (SRLMS), Motion Artifact.- Design and Performance Evaluation of Semi-Adaptive 380-400 KHz Digital Band Pass Filters for SAR Applications
Abstract Views :182 |
PDF Views:3
Authors
Affiliations
1 Department of Electronics and communication, Sarabhai Institute of Science and Technology, Bhopal 462031, IN
2 Department of Electronics and communication, University Institute of Technology–RGPV, Bhopal 462031, IN
3 AISECT University, Bhopal-Chiklod Road, Raisen, Bhopal, IN
1 Department of Electronics and communication, Sarabhai Institute of Science and Technology, Bhopal 462031, IN
2 Department of Electronics and communication, University Institute of Technology–RGPV, Bhopal 462031, IN
3 AISECT University, Bhopal-Chiklod Road, Raisen, Bhopal, IN
Source
Wireless Communication, Vol 4, No 15 (2012), Pagination: 895-899Abstract
Technologies have advanced rapidly in the field of digital signal processing due to advances made in high speed, low cost digital integrated chips. These technologies have further stimulated ever increasing use of signal representation in digital form for purposes of transmission, measurement, control and storage. Design of digital filters especially adaptive or semi adaptive is the necessity of the hour for SAR applications. The aim of this research work is to design and evaluate the performance of 380-400 KHz Bartlett, Blackman and Chebyshev digital semi adaptive filters. XILINX and MATLAB software are used for designing of these filters. As part of practical research work these designs were translated using FPGA hardware SPARTAN-3E kit. Blackman and Chebyshev filters designed using software and hardware were tested by a sinusoidal test signal of 381 KHz along with noise and the filtered output signals are presented. These designs were optimized, analyzed, compared and evaluated keeping the sampling frequency at 5 MHz for 64 orders.Keywords
Digital Filter, XILINX and MATLAB Software, Field Programmable Gate Arrays (FPGA), SPARTAN-3E, DSP Chips.- Performance Evaluation of FIR based Active Band Pass Filter for SAR Applications
Abstract Views :204 |
PDF Views:3
Authors
Affiliations
1 Department of Electronics and Communication, All Saints College of Technology-ASCT, Bhopal, India- 462031, IN
2 AISECT University, Bhopal-Chiklod Road, Raisen, Bhopal, IN
3 Department of Electronics and Communication, UIT, Rajiv Gandhi Proudyogiki Vishwavidyalaya-RGPV, Bhopal – 462031, IN
1 Department of Electronics and Communication, All Saints College of Technology-ASCT, Bhopal, India- 462031, IN
2 AISECT University, Bhopal-Chiklod Road, Raisen, Bhopal, IN
3 Department of Electronics and Communication, UIT, Rajiv Gandhi Proudyogiki Vishwavidyalaya-RGPV, Bhopal – 462031, IN