원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.11
2016.11
pp.297-308
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, model-based design is used to complete the design of an adaptive filter by Least Mean Square (LMS) algorithm, which implements the recovery process of audio signal disturbed by noise. We can quickly build a system simulation model by model-based design approach, and accomplish efficiently the system test, simulation and implementation. Theoretical analysis and experimental results show that the method of model-based design is not only valuable to the design and implementation of DSP system, but also can significantly improve the design efficiency of the DSP system.
목차
Abstract
1. Introduction
2. The Workflow of Model-Based Design
3. The Introduction of LMS Algorithm
3.1. The Principle of Adaptive Filter
3.2. The LMS Algorithm
4. The Design of Noise-Cancel of Audio Adaptive Filter
5. Conclusion
References
1. Introduction
2. The Workflow of Model-Based Design
3. The Introduction of LMS Algorithm
3.1. The Principle of Adaptive Filter
3.2. The LMS Algorithm
4. The Design of Noise-Cancel of Audio Adaptive Filter
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보