원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.9
2015.09
pp.151-156
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Often some noise signals get interleaved with speech signals and owing to noisy surroundings the captured signal may not sound as desired. For such cases, a combination of Hilbert transform filter and Biquad filter in cascaded form might prove helpful. An arrangement in a simulink model demonstrates successful noise reduction in a voice signal recorded from a microphone. Both the filters used were of Direct Form structure, while the Hilbert filter was a Direct Form FIR, the Biquad was Direct Form II structure filter. The observations for speech signal as well as noise signals have been produced as results that show a significant noise removal.
목차
Abstract
1. Introduction
2. Simulink Components Used
3. Conclusion
4. Future Scope
References
1. Introduction
2. Simulink Components Used
3. Conclusion
4. Future Scope
References
저자정보
참고문헌
자료제공 : 네이버학술정보