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Abstract
Our aim is to reduce the noise in the images and also for the speech enhancement using the filtering techniques. In this paper, we used the filtering techniques like Kalman filter, Wiener filter, and H-infinity filter and also we used the spectral subtraction method. These methods and filtering techniques are more useful to get the accurate results of any system what the user wants. The techniques are helpful in many applications like wiener filter in image processing, denoise audio signals, especially speech, as a pre-processor before speech recognition and Kalman filter in speech enhancement, 3D modelling, weather forecasting and h-infinity filter is used in control theory and also for the speech enhancement.
Keywords: Kalman Filter, Wiener Filter, H-infinity Filter.##plugins.themes.academic_pro.article.details##
How to Cite
Suman Ph.D, D. M., & M.Shyam, C. M. (2015). Filtering Techniques. International Journal of Emerging Trends in Science and Technology, 2(04). Retrieved from https://ijetst.igmpublication.org/index.php/ijetst/article/view/637
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