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Singh, Brijraj; Mishra, Sudhakar; Tiwary, Uma Shanker

EEG based biometric identification with reduced number of channels Inproceedings

2015 17th International Conference on Advanced Communication Technology (ICACT), pp. 687-691, 2015, ISSN: 1738-9445.

Links | BibTeX | Tags: 10 channel EEG, Accuracy, Authentication, bivariate measure, Coherence, confidentiality retention, distance based classifier, EEG, EEG based biometric identification, EEG channels, electroencephalography, feature selection, forgery prevention, incremental approach, k-nearest neighbour, magnitude squared coherence, medical signal processing, Noise, Testing, Training

Agrawal, Utkarsh; Tiwary, Uma Shanker; Roy, Soumava Kumar; Prashanth, D S

K-means clustering for adaptive wavelet based image denoising Inproceedings

Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in, pp. 134-137, 2015.

Links | BibTeX | Tags: adaptive soft thresholding, adaptive wavelet, Clustering algorithms, Discrete Wavelet Transform, Filtering, Gaussian noise, image denoising, image segmentation, inverse transforms, inverse wavelet transform, k-means clustering, K-Means Clustering Algorithm, k-means grouping statistical parameters, Noise, Noise measurement, pattern clustering, PSNR, Soft Thresholding, variable Gaussian noise, wavelet transforms


Agrawal, Utkarsh; Roy, Soumava Kumar; Tiwary, Uma Shanker

Wavelet-Based Image Denoising Using Interval Type-2 Fuzzy Sets and Adaptive Multilevel Soft Threshold Inproceedings

Soft Computing and Machine Intelligence (ISCMI), 2014 International Conference on, pp. 150-153, 2014.

Links | BibTeX | Tags: adaptive multilevel soft threshold, Footprint of uncertainty, fuzzy set theory, Fuzzy sets, fuzzy systems, Gaussian noise, image denoising, image segmentation, interval type-2 fuzzy set, Interval Type-2 Fuzzy System, multilevel two-dimensional wavelet transform, Noise, Noise reduction, Standards, type-1 FS, type-1 fuzzy system, type-2 FS, Uncertainty, variable Gaussian noise, Wavelet coefficients, wavelet transforms, wavelet-based image denoising