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Krishnakumar, S.
- A Scheme for Analysis and Design of Analogue Circuits
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1 Department of Electronics, School of Technology and Applied Sciences, M. G. University Regional Centre, Edappally, Ernakulam - 682024, Kerala, IN
1 Department of Electronics, School of Technology and Applied Sciences, M. G. University Regional Centre, Edappally, Ernakulam - 682024, Kerala, IN
Source
Indian Journal of Science and Technology, Vol 9, No 45 (2016), Pagination:Abstract
Network theorems or circuit theorems are special aids, which can reduce the amount of effort involved in circuit analysis to a considerable degree. For linear networks, there exists interdependence between various network theorems. Thus, by careful analysis, one theorem can verify in terms of another theorem and it is advantageous for pedagogical reasons. A scheme for analogue circuit analysis is presented in this paper. Here piece-by-piece or part-by-part analyzing strategy is employed which can reduce the complexity associated with analyzing or biasing design of large analogue circuits. Fixatornorator pair plays the key role in this methodology. Hybrid equivalent circuit, an alternative for Thevenin’s or Norton’s equivalent model is realized with fixator-norator pair, and is seen to be more dynamic and flexible since it contains both voltage source and current source. Thevenin’s theorem, compensation theorem and maximum power transfer theorem are analyzed in terms of fixator norator pairs, and the study indicates the importance and capabilities of fixator-norator pair and hence hybrid equivalent circuit in analogue circuit design and analysis.Keywords
Compensation Theorem, Fixator-norator Pair, Hybrid Equivalent Circuit, Maximum Power Transfer Theorem, Thevenin’s Theorem.- Orthogonal Compactly Supported Near-Symmetric Wavelets in Denoising Satellite Images
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Authors
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1 School of Technology and Applied Sciences, Mahatma Gandhi University Regional Center,Changampuzha Samadhi Road, Devankulangara, Palarivattom, Ernakulam, Kochi – 682024, Kerala, IN
1 School of Technology and Applied Sciences, Mahatma Gandhi University Regional Center,Changampuzha Samadhi Road, Devankulangara, Palarivattom, Ernakulam, Kochi – 682024, Kerala, IN
Source
Indian Journal of Science and Technology, Vol 10, No 14 (2017), Pagination:Abstract
Objectives: This is to investigate the performance of two orthogonal, compactly supported, near symmetric wavelet families’ viz., coiflets and symlets in denoising satellite images. Methods/Statistical Analysis: We use the Stationary Wavelet Transform (SWT) which is a shift-invariant transform and three levels of image decomposition. Additive White Gaussian Noise (AWGN) is used to produce the corrupted images used for the study. Findings: The study identified the most suitable wavelet in each of the above two wavelet families, for denoising satellite images. A comparison between the denoising performances of these wavelet families has also been made. It has been found that the denoising performance of wavelets belonging to both the families decrease as the wavelet order increases. Applications/Improvements: The study finds application in the denoising of satellite images and images obtained by space exploration and such images corrupted by a combination of several types of noise distributions.Keywords
Compact Support, Denoising, Gaussian, Near-Symmetry, Orthogonal- RNM Calculation of 6T SRAM Cell in 32nm Process Node based on Current and Voltage Information
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Authors
Affiliations
1 Department of Electronics, School of Technology and Applied Sciences, Mahatma Gandhi University, Edappally, Kochi – 682024, Kerala, IN
1 Department of Electronics, School of Technology and Applied Sciences, Mahatma Gandhi University, Edappally, Kochi – 682024, Kerala, IN