Sananda Kumar

Sananda Kumar
KIIT University | KIIT · School of Electronics Engineering

Doctor of Philosophy

About

14
Publications
298
Reads
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65
Citations
Additional affiliations
July 2012 - February 2016
National Institute of Technology Rourkela
Position
  • PhD Student
June 2009 - present
Silicon Institute of Technology
Position
  • Professor (Assistant)

Publications

Publications (14)
Article
Full-text available
A smart discrete Fourier transform based modified diffusion technique is proposed in this paper that estimates the frequency in presence of regressor noise. This technique explores iterative relationship between the consecutive DFT in the form of smart DFT, and employs least mean square algorithm to measure and track the frequency. Multiple sensor...
Article
Least squared error cost function based conventional diffusion strategies are not robust against outliers in both the desired and input data. In most of the practical scenarios, both the input and desired data contain impulsive noise along with Gaussian noise. The presence of outliers in the measured (input/desired) data can be treated as the impul...
Article
Impulsive noise and interference are always present in the environment in addition to additive white Gaussian noise that corrupts the measured data. In such cases, conventional adaptive estimation algorithms based on least squares error cost function provides poor performance in estimating the optimum parameter. In order to alleviate this shortcomi...
Article
This paper deals with the development of robust diffusion strategy for wireless sensor networks using minimum-Wilcoxon-norm. The Wilcoxon norm based robust estimation now-a-days has drawn the attention of the signal processing community for its scale equivariant property and simplicity. Exhaustive mathematical analysis has been presented to obtain...
Conference Paper
Adaptive algorithms are applied to distributed networks to endow the network with adaptation capabilities. Incremental Strategy is the simplest mode of cooperation as it needs less amount of communication between the nodes. The adaptive incremental strategy which is developed for distributed networks using LMS algorithm, suffers from drift problem,...
Conference Paper
A distributed Block LMS estimate strategy is developed by appealing to collaboration techniques that exploits both space and time structures of data. In diffusion strategies, information are exchanged among the nodes, usually containing noisy links. The weight combination of the neighboring nodes play a crucial role in adaptation and tracking abili...
Conference Paper
An innovative digital half toning procedure is established on multiscale error diffusion is studied in this paper. In this research a negative multiscale error diffusion technique is proposed having more practical significance. The prominent features of the algorithm are (1) Application of image quadtree (2) Selection of the darkest pixel based on...

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