J. S. Sahambi

发表

ECG Arrhythmia Analysis by Multicategory Support Vector Machine

Mahesh S. Khadtare, J. S. Sahambi, 2004, AACC.

Vehicle Tracking in Video Using Fractional Feedback Kalman Filter

Harpreet Kaur, J. S. Sahambi, J. Sahambi, 2016, IEEE Transactions on Computational Imaging.

A framework for improvement in homogeneity of fluorescence and bright field live cell images using fractional derivatives

J. S. Sahambi, Sarabpreet Kaur, J. Sahambi, 2015, International Conference on Computing, Communication & Automation.

Using Wavelet Transforms for ECG Characterization

J. S. Sahambi, R. K. P. Bhatt, J. Sahambi, 1997 .

Investigation of blind source separation methods for extraction of fetal ECG

J. S. Sahambi, K.V.K. Ananthanag, J. Sahambi, 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).

A new approach for on-line ECG characterization

J. S. Sahambi, S. N. Tandon, R. K. Bhatt, 1996, Proceedings of the 1996 Fifteenth Southern Biomedical Engineering Conference.

Vehicle tracking using fractional order Kalman filter for non-linear system

Harpreet Kaur, J. S. Sahambi, J. Sahambi, 2015, International Conference on Computing, Communication & Automation.

A Framework for Segmentation of Inhomogeneous Live Cell Images using Fractional Derivatives and Level Set Method

J. S. Sahambi, Sarabpreet Kaur, J. Sahambi, 2015 .

Classification of ECG arrhythmias using multi-resolution analysis and neural networks

J. S. Sahambi, G. K. Prasad, J. Sahambi, 2003, TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region.

Significance of Multimodal Biometric Systems

S. R. Mahadeva Prasanna, J. S. Sahambi, P. Kartik, 2007, IICAI.

Pixel Dependent Automatic Parameter Selection for Image Denoising with Bilateral Filter

J. S. Sahambi, C. Shyam Anand, J. Sahambi, 2012 .

Separation Performance of ICA Algorithms on FECG and MECG Signals Contaminated by Noise

J. S. Sahambi, S. D. Parmar, H. K. Patel, 2004, AACC.

Neural Network and Wavelets in Arrhythmia Classification

Vikas Jain, J. S. Sahambi, 2004, AACC.

DSP based ST-segment analysis: the wavelet approach

J. S. Sahambi, S. N. Tandon, R. K. Bhatt, 1997, Proceedings of the 1997 16 Southern Biomedical Engineering Conference.

Curvelet initialized level set cell segmentation for touching cells in low contrast images

J. S. Sahambi, Sarabpreet Kaur, J. Sahambi, 2016, Comput. Medical Imaging Graph..

Modified active contour model and Random Walk approach for left ventricular cardiac MR image segmentation

J. S. Sahambi, Sarada Prasad Dakua, J. Sahambi, 2011 .