S
Sarat Kumar Patra
Researcher at Indian Institutes of Information Technology
Publications - 177
Citations - 1253
Sarat Kumar Patra is an academic researcher from Indian Institutes of Information Technology. The author has contributed to research in topics: Orthogonal frequency-division multiplexing & Additive white Gaussian noise. The author has an hindex of 14, co-authored 167 publications receiving 1080 citations. Previous affiliations of Sarat Kumar Patra include University of Edinburgh & National Institute of Technology, Rourkela.
Papers
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Image Encryption Using Advanced Hill Cipher Algorithm
TL;DR: A novel advanced Hill (AdvHill) encryption technique has been proposed which uses an involutory key matrix and is a fast encryption scheme which overcomes problems of encrypting the images with homogeneous background.
Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm
TL;DR: Methods of generating self-invertible matrix for Hill Cipher algorithm have been proposed, which eliminates the computational complexity involved in finding inverse of the matrix while decryption.
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Efficient architecture for Bayesian equalization using fuzzy filters
TL;DR: It is shown that the fuzzy equalizer in general demands much lower computational complexity than the optimum equalizer and ways to further reduce the computation complexity of fuzzy equalizers are proposed and their performance evaluated.
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Short Term Load Forecasting Using Neural Network Trained with Genetic Algorithm & Particle Swarm Optimization
TL;DR: A smaller MLPNN trained by genetic algorithm & particle swarm optimization is proposed which gives better accuracy than BP training, where as it takes much longer time, but the PSO training approach converges much faster than both the BP and GA, with a slight compromise in accuracy.
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Fuzzy techniques for adaptive nonlinear equalization
TL;DR: It is shown that the fuzzy implementation of the MAP equalizer provides major computational advantages and can make them a candidate for mobile communication applications.