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Performance Evaluation of Different Averaging based Filter Designs Using Digital Signal Processor and its Synthesis on FPGA
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- 발행기관
- 보안공학연구지원센터(IJSIP) 바로가기
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- 간행물
- International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
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- 통권
- Vol.5 No.3 (2012.09)바로가기
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- 페이지
- pp.75-92
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A208836
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Noise has been a primary deterrent in signal transmission which results in faulty information after signal processing, reducing their usability. It is important that signals should be free from unwanted, random variations so that the errors caused due to faulty representation of the original signal can be minimized. Digital filter describes a linear time invariant system used to perform spectral shaping or frequency selective filtering. Design of digital filter using averaging technique is a simple type of FIR filter without assigning any value of cut off frequency. In our work, Simple Moving Average (SMA) and Exponentially Weighted Moving Average (EWMA) based signal filtering techniques are applied on corrupted signal, having different signal to noise ratio (SNR, to filter out noise from a discretely sampled signal. Performance evaluation of these techniques has been carried out using DSP Starter Kit (DSK) having processor TMS320C6713 with Code Composer Studio and is verified through simulation using MATLAB. The algorithm of EWMA technique is synthesized on FPGA platform to estimate resource utilization and timing constraints. The motivation for this research work was derived from the quest to develop a FPGA based simple filtering technique as compared to the conventional FIR filters to reduce design cycle of the system.
목차
Abstract
1. Introduction
2. System Model
2.1. Generation of Random Noise having Gaussian Distribution
2.2. Generation of Corrupted Sinusoidal Signal with Predetermined SNR using Gaussian Noise
2.3. Extraction of Original Uncorrupted Signal
3. Simulation Model
4. Synthesis of EWMA Filter on FPGA
5. Results and Discussion
5.1. DSP Platform
5.2. Matlab Platform
5.3. FPGA Platform
5. Conclusion
References
키워드
Signal Averaging Simple Moving Average Exponential Moving Average Noise Variance DSP RMS Error FPGA저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Signal Processing, Image Processing and Pattern Recognition
- 간기
- 격월간
- pISSN
- 2005-4254
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.5 No.3
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