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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electrical Engineering and Computer Science
Mihir Narayan Mohanty
Siksha O Anusandhan University
Computer Science & IT Electrical & Electronics Engineering

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Variable Sign-Sign Wilcoxon Algorithm: A Novel Approach for System Identification Mihir Narayan Mohanty; Sidhartha Dash
International Journal of Electrical and Computer Engineering (IJECE) Vol 2, No 4: August 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (146.171 KB)

Abstract

Behavioral study of a system is an important task. It is mostly used in real world environments and became an emergent research area. Various approaches have been proposed since last two decades. In this paper, we have proposed a Variable Step-Size Sign-Sign Wilcoxon Approach, that is robust against outliers in the desired data and also convergence speed is faster than Wilcoxon norm based approach. In initial stage, Sign-Sign Wilcoxon norm based approach has been verified. Next to it, the proposed approach is verified and compared for the application in Linear and Non-linear system identification problems in presence of outliers.DOI:http://dx.doi.org/10.11591/ijece.v2i4.837
Classification of Emotional Speech of Children Using Probabilistic Neural Network Hemanta Kumar Palo; Mihir Narayan Mohanty
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 2: April 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (331.801 KB) | DOI: 10.11591/ijece.v5i2.pp311-317

Abstract

Child emotions are highly flexible and overlapping. The recognition is a difficult task when single emotion conveys multiple informations. We analyze the relevance and importance of these features and use that information to design classifier architecture. Designing of a system for recognition of children emotions with reasonable accuracy is still a challenge specifically with reduced feature set. In this paper, Probabilistic neural network (PNN) has been designed for such task of classification. PNN has faster training ability with continuous class probability density functions. It provides better classification even with reduced feature set. LP_VQC and pH vectors are used as the features for the classifier. It has been attempted to design the PNN classifier with these features. Various emotions like angry, bore, sad and happy have been considered for this piece of work. All these emotions have been collected from children in three different languages as English, Hindi, and Odia. Result shows remarkable classification accuracy for these classes of emotions. It has been verified in standard databse EMO-DB to validate the result.
An Optimized Resonant-cap Ka-band IMPATT Oscillator for Broadband Communication Laxmi Prasad Mishra; Mihir Narayan Mohanty; Sudarshan Chakraborty; Monojit Mitra
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp553-558

Abstract

Demand on capacity and band width increasing day-by-day in the area of wireless communication. One of the solutions is utilization of frequency bands for broadband communication that is related to satellite communication. Mostly Ka-band is used in satellite communication. In this paper, an attempt is taken to design an optimized resonant-cap Ka-band oscillator. To obtain oscillation from Ka-band IMPATT device. It has been embedded in a resonant cavity for which resonant cap structure is used. From this study, it is found that the supply D.C voltage from the top of the diode provides a matching network between the diode and the load to achieve maximum power. Keeping the breakdown voltage of the IMPATT diode fixed, the variation of bias current helps for detailed study and mechanically tuning has been done with variation of cap height, Cap diameter as well as by varying the position of the short using sliding short tuner and verified experimentally. Optimization result is made to get maximum output with maximum efficiency for an optimized cap height, diameter, and position of sliding short tuner. With these facts the work is presented difference tuning methods for resonant cap IMPATT oscillator.
Impulsive Noise Cancellation from ECG Signal using Adaptive Filters and their Comparison Mihir Narayan Mohanty; Sarthak Panda
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 2: August 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i2.pp369-376

Abstract

Impulsive Noise is the sudden burst noise of short duration. Mostly it causes by electronic devices and electrosurgical noise in biomedical signals at the time of acquisition. In this work, Electrocardiograph (ECG) signal is considered and tried to remove impulsive noise from it. Impulsive noise in ECG signal is random type of noise. The objective of this work is to remove the noise using different adaptive algorithms and comparison is made among those algorithms. Initially the impulsive noise in sinusoidal signal is synthesized and tested for different algorithms like LMS, NLMS, RLS and SSRLS. Further those algorithms are modified in a new way to weight variation. The proposed novel approach is applied in the corrupted ECG signal to remove the noise. The effectiveness of the proposed approach is verified for ECG signal with impulsive noise as compared to the traditional approaches as well as previously proposed approaches. Also the performance of our approach is validated by SNR computation. Significant improvement in SNR is achieved after removal of noise.
Co-Authors Hemanta Kumar Palo Laxmi Prasad Mishra Monojit Mitra Sarthak Panda Sidhartha Dash Sudarshan Chakraborty