2017
      Conferences
    1. Sanjeev Sharma, Vimal Bhatia and Anubha Gupta, “An Iterative Transmitted Reference UWB Receiver for Joint
      ToA and Data Symbols Estimation," IEEE International Conference on Communications (ICC), USA, May 2018.
    2. Naushad Ansari and Anubha Gupta, "Statistical Learning of Rational Wavelet Transform for Natural Images,"
      IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Canada, April 2018.
    3. Dilnashin Anwar, Prince Garg, Vinayak Naik, Anubha Gupta, and Akshay Kumar, "Use of Portable EEG Sensors to
      Detect Meditation," International Conference on COMmunication Systems & NETworkS (COMSNETS)- NetHealth WS,
      Bangaluru, India, January 2018 (received best paper runner-up award).
    2017
      Book-Chapters
      1. Rahul Duggal, Anubha Gupta, Ritu Gupta, and Pramit Mallick, "SD-Layer: Stain Deconvolutional Layer
        for CNNs in Medical Microscopic Imaging," In: Descoteaux M., Maier-Hein L., Franz A., Jannin P., Collins D.,
        Duchesne S. (eds) Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017, MICCAI 2017.
        Lecture Notes in Computer Science, Part III, LNCS 10435, pp. 435–443. Springer, Cham.
        DOI: https://doi.org/10.1007/978-3-319-66179-7_50.
        Journals
      1. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, "Impulse Noise Mitigation in IR-UWB Communication using Signal
        Cluster Sparsity," Accepted, IEEE Communications Letters, December 2017, (IF 2017: 1.988).
      2. Naushad Ansari and Anubha Gupta, “M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework”,
        IEEE Access, 2017. [PDF] [MATLAB Codes]
      3. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, “Noncoherent IR-UWB Receiver using Massive Antenna Arrays for
        Wireless Sensor Networks”, IEEE Sensors Letters, 2017. (2017 IF: 2.528) [PDF]
      4. Priya Aggarwal, and Anubha Gupta, "Double temporal sparsity based accelerated reconstruction of compressively
        sensed resting-state fMRI," Computers in Biology and Medicine, vol. 91, pp. 255-266, December 2017.
        DOI:https://doi.org/10.1016/j.compbiomed.2017.10.020, (2017 IF: 1.836). PDF
      5. Priya Aggarwal, Anubha Gupta, and Ajay Garg, "Multivariate Brain Network Graph Identification in Functional MRI,"
        Medical Image Analysis, vol. 42, pp. 228-240, December 2017. DOI: https://doi.org/10.1016/j.media.2017.08.007,
        (2017 IF: 4.188). PDF
      6. Naushad Ansari and Anubha Gupta, "Image Reconstruction using Matched Wavelet Estimated from Data Sensed Compressively
        using Partial Canonical Identity Matrix," IEEE Transactions on Image Processing (IEEE-TIP), vol. 26, no. 8,
        pp. 3680-3695, 2017. DOI: 10.1109/TIP.2017.2700719, (2017 IF: 4.828). PDF at arXiv, MATLAB codes
      7. Priya Aggarwal, Parth Shrivastava, Tanay Kabra, and Anubha Gupta, "Optshrink LR+S: Accelerated fMRI Reconstruction
        using Non-Convex Optimal Singular Value Shrinkage," Brain Informatics, vol. 4, no. 1, pp. 65-83, January 2017.
        DOI 10.1007/s40708-016-0059-x. PDF MATLAB code
      8. Chandan Pradhan and Anubha Gupta, “Ship Detection using Neyman-Pearson Criterion in Marine Environment,”
        Ocean Engineering, Elsevier, vol. 143, pp. 106-112, October 2017. DOI: https://doi.org/10.1016/j.oceaneng.2017.03.008,
        (2017 IF: 1.894). PDF
      9. Sanjeev Sharma, Vimal Bhatia, and Anubha Gupta, "Sparsity-based narrowband interference mitigation in ultra
        wide-band communication for 5G and beyond," Computers & Electrical Engineering, Elsevier, pp. 1-13, ISSN 0045-7906, 2017.
        DOI: https://doi.org/10.1016/j.compeleceng.2016.12.02, (2017 IF: 1.570). PDF
        Conferences
      1. Ishita Srivastava, Pushpendra Singh, Amit Singhal, and Anubha Gupta, "Baseline wander and powerline interference
        removal from ECG signals using Fourier decomposition method," International Conference on Machine Intelligence and
        Signal Processing (MISP), Indore, India, December 2017.
      2. Rahul Duggal and Anubha Gupta, "P-TELU : Parametric Tan Hyperbolic Linear Unit Activation for Deep Neural
        Networks," ICCV CEFRL Workshop 2017, Venice, Italy, October 2017. PDF
      3. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, “Joint Estimation of ToA and Data Symbols in UWB Communication
        in Presence of Impulsive Interference,” Accepted, IEEE Globecom, Singapore, December 2017. PDF
      4. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, "A Simple Modified Peak Detection Based UWB Receiver for
        WSN and IoT Applications,” IEEE Vehicular Technology Conference (VTC), Sydney, Australia, June 2017. PDF
      5. Naushad Ansari, Ananya Sen Gupta, and Anubha Gupta, "Underwater Acoustic Channel Estimation via CS with Prior
        Information," IEEE OCEANS, Aberdeen, Scotland, June 2017. PDF
      6. Sanjeev Sharma, Vimal Bhatia, and Anubha Gupta, "A Non-coherent UWB Receiver Using Signal Cluster Sparsity,"
        National Conference on Communications (NCC), India, March 2017. PDF
        Posters
      1. Ritu Gupta, Pramit Mallick, Rahul Duggal, Anubha Gupta, and Ojaswa Sharma, "Stain Color Normalization and
        Segmentation of Plasma Cells in Microscopic Images as a Prelude to Development of Computer Assisted Automated
        Disease Diagnostic Tool in Multiple Myeloma," 16th International Myeloma Workshop (IMW), India, March 2017.
        Archive
      1. Priya Aggarwal and Anubha Gupta, "Dynamic Phase Synchrony based Ranked Spatio-Temporal Clustering for
        Tracking Time-Resolved Functional Brain Networks," BioRxiv, August 2017, DOI: https://doi.org/10.1101/17298. PDF
    2016
        Journals
      1. Naushad Ansari, Anubha Gupta, and Ananya Sen Gupta, "Shallow water acoustic channel estimation using
        two-dimensional frequency characterization", Journal of Acoustical Society of America (JASA), 2016.
        DOI: 10.1121/1.4967448.
      2. Priya Aggarwal and Anubha Gupta, “Accelerated fMRI reconstruction using Matrix Completion with Sparse
        Recovery via Split Bregman”, Elsevier Neurocomputing, DOI:10.1016/j.neucom.2016.08.016, 2016.
      3. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, “A New Sparse Signal-Matched Measurement Matrix for Compressive
        Sensing in UWB Communication,” IEEE Access, vol. 4, pp. 5327-5342 DOI: 10.1109/ACCESS.2016.2601779, 2016.
      4. Priya Aggarwal, Anubha Gupta, and Vivek A. Bohara “Recursive Least Squares Channel Estimation for
          Rapidly Time-Varying Scenarios in IEEE 802.11p,” pp.1-14, Wireless Personal Communications, Springer, 2016.
        DOI: 10.1007/s11277-016-3263-3.
        Conferences
      1. Pinkal Patel, Priya Agarwal, and Anubha Gupta, “Classification of Schizophrenia versus normal subjects
        using deep learning,”, Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP),
        Guwahati, India, December 2016.
      2. Rahul Duggal, Anubha Gupta, Ritu Gupta, Manya Wadhwa, and Chirag Ahuja, “Overlapping Cell Nuclei
        Segmentation in Microscopic Images Using Deep Belief Networks,”, Indian Conference on Computer Vision,
        Graphics and Image Processing (ICVGIP), Guwahati, India, December 2016.
      3. Akshay Sethi, Akshat Sinha, Ayush Agarwal, Chetan Arora, and Anubha Gupta, “Deep Neural Networks
        for Segmentation of Basal Ganglia Sub-Structures in Brain MR Images”, Indian Conference on Computer Vision,
        Graphics and Image Processing (ICVGIP), Guwahati, India, December 2016.
      4. Sanjeev Sharma, Vimal Bhatia, and Anubha Gupta, “Sparsity Based UWB Receiver Design in Additive
          Impulse Noise Channels,” SPAWC, July 3rd - July 6th, Edinburgh, UK, 2016.
      5. Naushad Ansari and Anubha Gupta, “Joint Framework for Signal Reconstruction using Matched
          Wavelet Estimated from Compressively Sensed Data,” DCC (Core A* Conference), USA, March 2016.
      6. Anubha Gupta and S.D. Joshi, “Connection between DCT and Discrete-time Fractional
          Brownian motion,” DCC (Core A* Conference), USA, March 2016.
        Posters
      1. Pramit Mallick, Ojaswa Sharma, Rahul Duggal, Anubha Gupta, and Ritu Gupta, "GPU based Segmentation
        of Plasma Cells in Multiple Myeloma Images," Poster, GPU Technology Conference, Bombay, India, December 2016.
      2. Ritu Gupta, Pramit Mallick, Rahul Duggal, Anubha Gupta, and Ojaswa Sharma, “Novel Level Set Framework
        for Plasma Cell Segmentation from Microscopic Images of Multiple Myeloma,” Poster, Multiple Myeloma-State of
        the Art, PGIMER, Chandigarh, India, September 2016. Received Second Prize for Best Poster Award.
      3. Meetu Dahiya, Rahul Duggal, Anubha Gupta, and Ritu Gupta, “Stain Color Normalization of Microscopic
        Images of Multiple Myeloma,” Poster, Multiple Myeloma-State of the Art, PGIMER, Chandigarh, India, September 2016.
      4. Rahul Duggal, Anubha Gupta, and Ritu Gupta, “Segmentation of overlapping/touching white blood cell nuclei
        using artificial neural networks,” Poster, CME Series on Hemato-Oncopathology, All India Institute of Medical
        Sciences (AIIMS), New Delhi, India, July 2016.
      5. Pramit Mallick, Rahul Duggal, Anubha Gupta, Ojaswa Sharma, and Ritu Gupta, “Modified multiphase level set for
        segmentation of plasma cells in multiple myeloma images,” Poster, CME Series on Hemato-Oncopathology,
        All India Institute of Medical Sciences (AIIMS), New Delhi, India, July 2016. Received Second Prize for Best Poster Award.
      6. N. Jain , V.A. Bohara and A. Gupta, “Compressive Cooperative Communication with Decode
          and Forward Relay,” COMSNET, Jan. 2016. (Awarded best poster award honorable mention)
        Archive
      1. Naushad Ansari, Anubha Gupta, and Rahul Duggal, "Design of Image Matched Non-Separable Wavelet using
        Convolutional Neural Network", arXiv:1612.04966, 2016.
    2015
    1. Priya Aggarwal, Anubha Gupta, and Ajay Garg, “Joint Estimation of Activity Signal and HRF
      in fMRI using Fused LASSO,” IEEE GlobalSIP, USA, Dec. 2015.
    2. Naushad Ansari, Anubha Gupta, and Ananya Sen Gupta, “Physics Inspired CS based Underwater
      Acoustic Channel Estimation,” IEEE GlobalSIP, USA, Dec. 2015.
    3. Priya Aggarwal, Anubha Gupta, and Ajay Garg, “Joint Estimation of Hemodynamic Response
      Function and Voxel Activation in functional MRI Data,” MICCAI, Germany, Oct 2015.
    4. Priya Aggarwal, Anubha Gupta, and Vivek A. Bohara “A Guard Interval Assisted OFDM Symbol-Based
      Channel Estimation for Rapid Time-Varying Scenarios in IEEE 802.11p,” PIMRC- 2015, HongKong.
    5. Naushad Ansari and Anubha Gupta, “Signal-Matched Wavelet Design via Lifting
      using Optimization Techniques,” IEEE DSP, Singapore, July 2015.
    6. Naushad Ansari and Anubha Gupta, “Lifting-based Rational Wavelet Design
      from a Given Signal,” IEEE DSP, Singapore, July 2015.
    7. Anupriya Gogna, Sri Harsha Gade, Anubha Gupta, “Design of Signal-Matched Critically
      Sampled FIR Rational Filterbank,” IEEE ICASSP, Australia, April 2015.
    8. Chandan Pradhan and Anubha Gupta, "Modeling of Ambient and Ship Noise in
      Underwater Ocean Environment of the Bay of Bengal", IEEE International Conference on
      Signal Processing, Informatics Communication and Energy Systems (IEEE SPICES 2015),
      Feb. 19-21, 2015, National Institute of Technology Calicut (NITC), India.
    9. Ananya Sen Gupta, Naushad Ansari, and Anubha Gupta, "Tracking the underwater
      acoustic channel using two-dimensional frequency sampling", IEEE OES International
      Symposium on Underwater Technology 2015, National Institute of Ocean Technology,
      India, Feb 23-25, 2015, Chennai, India.
    2014
    1. Mandar Karlekar and Anubha Gupta, “Stochastic modeling of EEG rhythms with
      fractional Gaussian Noise,” Proceedings of the 22nd European Signal Processing
      Conference, EUSIPCO-2014, pp. 2520-2524, Sep. 1-5, 2014, Portugal.
    2. Anubha Gupta and ShivDutt Joshi, "On the Concept of Intrinsic Wavelet
      Functions" IEEE SPCOM, 2014, IISc Bangalore, India.
    3. Anubha Gupta and ShivDutt Joshi, “Estimation of Multipath Fading Channel Using
      Fractal Based VSLMS Algorithm,” WSEAS Transactions on Signal Processing,
      Volume 10, pp 231-242, April 2014.
    2013
    1. Sakshi Agarwal and Anubha Gupta, “Fractal and EMD based Removal of Baseline
      Wander and Powerline Interference from ECG Signals,” Computers in Biology and
      Medicine
      , Elsevier, Volume 43, Issue 11, pp. 1889-1899, November 2013.
    2. Sushma M, Anubha Gupta, Jayanthi Sivaswamy, "Semi-Automated Magnification of
      Small Motions in Videos" International Conference on Pattern Recognition and
      Machine Intelligence (PReMI), Dec. 2013, Kolkata, India.
    3. Sakshi Agarwal and Anubha Gupta, “Projection Operator Based Removal of Baseline
      Wander Noise from ECG Signals,” IEEE Asilomer Conference, Nov. 2013, USA.
    4. Harsh Wardhan, Anubha Gupta, and Shubhajit Roy Chowdhury, “Modified Hodgkin-Huxley
      Model using Fractional Differential Equation,” IEEE Asilomer Conference, Nov. 2013, USA.
    5. Sakshi Agarwal and Anubha Gupta, “Removal of baseline wander in ECG using the
      statistical properties of fractional Brownian motion,” IEEE International Conference
      CONECCT-2013, Jan 2013, IISc Bangalore, India.
    6. Sushma M, Anubha Gupta, Jayanthi Sivaswamy, Time-Frequency Analysis based Motion
      Detection in Perfusion Weighted MRI, NCVPRIPG 2013, IIT Jodhpur, Dec 2013, India.
    2012
    1. Anubha Gupta and ShivDutt Joshi, Estimation of an Asymptotically Stationary AR
      Channel Using fBm Based LMS Algorithm, IEEE International Conference on Signal
      Processing & Communications, SPCOM-2012, 22-25 July, 2012, IISc Bangalore, India.
    2011
    1. Anubha Gupta and ShivDutt Joshi, Two-Channel Nonseparable Wavelets Statistically
      Matched to 2-D Images, Signal Processing Journal, Elsevier, Vol. 91, No.4, pp. 673-689, 2011.
    2010
    1. Anubha Gupta and ShivDutt Joshi, Characterization of 2nd Order Isotropic Fractional
      Brownian Fields, IEEE Transactions on Signal Processing, Vol. 58, No.8, pp.4411-4415, 2010.
    2009
    1. Neha Agrawal and Anubha Gupta, DCT Domain Message Embedding in Spread-Spectrum
      Steganography System, Data Compression Conference, 2009 Data Compression Conference,
      March 2009, Utah, USA.
    2008
    1. Anubha Gupta and ShivDutt Joshi, Some Studies on the Structure of the Covariance
      Matrix of Discrete-Time Fractional Brownian Motion, IEEE Transactions on Signal Processing,
      Vol. 56, No.10, pp.4635-4650, 2008.
    2. Anubha Gupta and ShivDutt Joshi, Variable Step-Size LMS Algorithm for Fractal Signals,
      IEEE Transactions on Signal Processing, Vol. 56, No.4, pp.1411-1420, 2008.
    2006
    1. Shikha Gupta, Mohit Sareen, Anubha Gupta, and Sujata Sengar, Blind Image Watermarking
      Algorithm Based on the Statistics of Wavelet Coefficients, IEE International Conference VIE2006,
      26-28 Sept., 2006, Bangalore, India.
    2. Anubha Gupta and ShivDutt Joshi, Characterization of Discrete-time Fractional Brownian
      Motion, IEEE Indicon-2006, 15-17 Sept., 2006, Delhi, India.
    3. Anubha Gupta and S. D. Joshi, A new Least Mean Squares Algorithm for tracking a
      Discrete-time fBM Process, IEEE Indicon-2006, 15-17 Sept., 2006, Delhi, India.
    4. Anubha Gupta and ShivDutt Joshi, Wavelets Matched to Isotropic 1/fImages, Proc.
      12th National Conference on Communications (NCC-2006), IIT Delhi, pp. 214-218, Jan 2006.
    2005
    1. Anubha Gupta, ShivDutt Joshi, and Surendra Prasad, A New Approach for Estimation of
      Statistically Matched Wavelet, IEEE Transactions on Signal Processing, Vol. 53, No.5,
      pp. 1778-1793, 2005.
    2. Anubha Gupta, ShivDutt Joshi, and Surendra Prasad, A New Method of Estimating
      Wavelet with Desired Features from a Given Signal, Signal Processing Journal, Elsevier,
      Vol. 85/1, pp. 147-161, 2005.
    3. Anubha Gupta, ShivDutt Joshi, and Surendra Prasad, A novel Method of Estimating
      Statistically Matched Wavelet: Part 1- Compactly Supported Wavelet, Journal of SCI,
      USA, Vol.2, No.5, 2005.
    2004
    1. Anmol Sethy, Anubha Gupta, Sujata Sengar, and Ankit Maheswari, Wavelet Domain
      Image Watermarking Algorithm Based on Energy Ratio Equalization, 7th International
      Conference on Information Technology, CIT-2004, Dec.20-23, 2004, Hyderabad, India.
    2. Anmol Sethy, Anubha Gupta, Sujata Sengar, and Ankit Maheswari, Watermarking
      Algorithm based on statistical properties of wavelet coefficients, 7th International
      Conference on Information Technology, CIT-2004, Dec.20-23, 2004, Hyderabad, India.
    3. Gaurav Chawla, Anubha Gupta, and Sujata Sengar, A wavelet based detection and
      analysis of gamma rhythms in EEG signals, IEEE International Conference on Signal
      Processing & Communications, SPCOM-2004, 11-14 Dec., 2004, IISc. Bangalore, India.
    4. Anubha Gupta, ShivDutt Joshi, Surendra Prasad, A new approach for estimation of
      wavelets with non-separable kernel from a given image, IEEE International Conference
      on Signal Processing & Communications, SPCOM-2004, 11-14 Dec., 2004, IISc. Bangalore, India.
    2003
    1. Anubha Gupta, ShivDutt Joshi, and Surendra Prasad, A new method of Estimating
      Compactly Supported Wavelet from a Given Signal, proc. IASTED Conference SPPRA-2003,
      pp. 119-124, 2003, Greece.
    2. Anubha Gupta, ShivDutt Joshi, and Surendra Prasad, A new method of Estimating
      Infinitely Supported Wavelet from a Given Signal, proc. IASTED Conference SPPRA-2003,
      pp. 125-129, 2003, Greece.
    3. Anubha Gupta, ShivDutt Joshi, and Surendra Prasad, A novel Method of Estimating
      Statistically Matched Wavelet: Part 1- Compactly Supported Wavelet, Proceedings of SCI-2003,
      vol. IV, pp. 433-438, 2003, Florida, USA.
    4. Anubha Gupta, ShivDutt Joshi, and Surendra Prasad, A novel Method of Estimating
      Statistically Matched Wavelet: Part 2- Infinitely Supported Wavelet, Proceedings of SCI-2003,
      vol. X, pp. 349-353, 2003, Florida, USA.
    2002
    1. Anubha Gupta, ShivDutt Joshi and Surendra Prasad, On a new approach for estimating
      wavelet matched to signal, Proc. Eighth National Conference on Communications, IIT Bombay,
      pp. 180-184, Jan 2002.
    2. Vimal Bhatia, Aloknath De, Anubha Gupta, and Sujata Senger, A Robust Phase-Reversed
      Tone Detection Using Bispectrum and DFT-based Algorithms, Proc. Eighth National Conference
      on Communications, IIT Bombay, Jan 2002.