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Gill, Neeraj
- FIR Digital Differentiator as an Efficient Versatile Multifunction Configuration
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Authors
Affiliations
1 GZS CET, Bathinda, Punjab, IN
2 Electronics and Communication Engineering Department, GZS CET, Bathinda, Punjab, IN
3 Electronics and Communication Engg. Deptt., GZS CET, Bathinda, Punjab, IN
1 GZS CET, Bathinda, Punjab, IN
2 Electronics and Communication Engineering Department, GZS CET, Bathinda, Punjab, IN
3 Electronics and Communication Engg. Deptt., GZS CET, Bathinda, Punjab, IN
Source
Digital Signal Processing, Vol 2, No 7 (2010), Pagination: 70-75Abstract
In this paper, a method is described for designing Digital Differentiator (DD) whose impulse response weights are related with weights of other FIR filters like Digital Hilbert Transformer, Half-band Low-pass/High-pass filter, Band-pass/Band-stop filter, All pass filter and Digital Frequency discriminator. This relationship among the impulse responses of different filters can be used to calculate the weighting coefficients of different filters in terms of weights of differentiator. In this paper, various filters have been derived from the Differentiator and their responses observed and compared by varying the order of the filter. It is observed that maximal linearity of frequency response of Differentiator also yields maximally flat/linear frequency response for other filters.Keywords
FIR Digital Filters, Impulse Response, Signal Processing, Versatile.- Analysis of Image Restoration Techniques using Fourier and Wavelet Transform
Abstract Views :203 |
PDF Views:3
Authors
Affiliations
1 Dept of ECE, CT Institute of Engg, Management & Tech, Jalandhar, Punjab, IN
2 Giani Zail Singh College of Engg. & Technology, Bathinda, Punjab, IN
3 GZS College of Engg & Tech, Bathinda, IN
1 Dept of ECE, CT Institute of Engg, Management & Tech, Jalandhar, Punjab, IN
2 Giani Zail Singh College of Engg. & Technology, Bathinda, Punjab, IN
3 GZS College of Engg & Tech, Bathinda, IN
Source
Digital Image Processing, Vol 1, No 7 (2009), Pagination: 294-303Abstract
The task of image restoration is to restore the image removing all of the degradations present in it. This degradation may be due to the motion or due to presence of noise. This noise can be of any type such as Gaussian, salt and pepper, speckle or poisson. We have mainly considered salt and pepper noise. In this paper, standardized techniques have been used for image restoration which involves techniques using fourier transform and wavelet transform. Also, quantitative evaluation of various image restoration methods has been done based on parameters such as contrast, correlation, energy and homogeneity.