2019
    Journals
  1. Priya Aggrawal and Anubha Gupta, "Group-Fused Multivariate Regression Modeling for Group-Level
    Brain Networks", Neurocomputing, vol. 363, pp.140-148, 2019,
    DOI: https://doi.org/10.1016/j.neucom.2019.06.042 (2019 IF: 4.072).
  2. Priya Aggrawal and Anubha Gupta, "Multivariate Graph Learning for Detecting Aberrant Connectivity of
    Dynamic Brain Networks in Autism", Medical Image Analysis, Medical Image Analysis, vol. 56,
    pp. 11-25, 2019, DOI: 10.1016/j.media.2019.05.007 (2021 IF: 8.645)
  3. Naushad Ansari, Ananya Sen Gupta and Anubha Gupta, "Shallow water channel estimation with energy
    efficient transmitted signal design", The Journal of the Acoustical Society of America, vol. 145,
    pp. 2955-2970, 2019, DOI: 10.1121/1.5097581 (2019 IF: 1.605)
  4. Gurvinder Kaur, Ritu Gupta, Nitin Mathur, Lata Rani, Lalit Kumar, Atul Sharma, Vishwajeet Singh,
    Anubha Gupta, and Om Dutt Sharma, "Clinical impact of chromothriptic complex chromosomal
    rearrangements in newly diagnosed multiple myeloma" Leukemia research, vol. 76, pp.58-64, Jan 2019,
    DOI: 10.1016/j.leukres.2018.12.005 (2019 IF: 2.319)
  5. Siddharth Panwar, Shiv Dutt Joshi, Anubha Gupta and Puneet Agarwal, "Automated Epilepsy Diagnosis
    Using EEG with Test Set Evaluation," IEEE Transactions on Neural Systems and Rehabilitation
    Engineering, vol. 27, no. 6, pp. 1106-1116, June 2019. DOI: 10.1109/TNSRE.2019.2914603 (2019 IF: 3.972)
  6. Sanjeev Sharma, Kuntal Deka, Vimal Bhatia and Anubha Gupta, "Joint Power-domain and SCMA-based
    NOMA System for Downlink in 5G and Beyond," IEEE Communications Letters, vol. 23, no. 6,
    pp. 971-974, June 2019. DOI: 10.1109/LCOMM.2019.2911082 (2019 IF: 2.723)
  7. Sanjeev Sharma, Vimal Bhatia, Kuntal Deka and Anubha Gupta, "Sparsity-based Monobit UWB Receiver
    Under Impulse Noise Environments," IEEE Wireless Communications Letters, vol. 8, no. 3,
    pp. 849-852, June 2019. DOI: 10.1109/LWC.2019.2896998 (2019 IF: 3.096)
  8. Neha Jain, Vivek Ashok Bohara and Anubha Gupta, "iDEG: Integrated Data and Energy Gathering
    Framework for Practical Wireless Sensor Networks Using Compressive Sensing," IEEE Sensors Journal,
    vol. 19, no. 3, pp. 1040-1051, Feb. 1, 2019, DOI: 10.1109/JSEN.2018.2878788, (2019 IF: 2.617)
  9. Sanjeev Sharma, Anubha Gupta and Vimal Bhatia, "Compressed Sensing Based UWB Receiver Using
    Signal-Matched Sparse Measurement Matrix," IEEE Transactions on Vehicular Technology, vol. 68, no. 1,
    pp. 993-998, Jan. 2019, DOI: 10.1109/TVT.2018.2881509 (2019 IF:4.432)
  10. Naushad Ansari and Anubha Gupta, "WNC-ECGlet: Weighted non-convex minimization based
    reconstruction of compressively transmitted ECG using ECGlet", Biomedical Signal Processing and
    Control, vol 49, pp. 1-13, 2019. DOI: 10.1016/j.bspc.2018.10.005. (2019 IF: 2.783)
    Conferences
  1. Anubha Gupta and Akanksha Farswan, "Rethinking Teaching Practices for Signal Processing Education",
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
    (received "Education Innovation Award" at IEEE ICASSP 2019, Brighton).
  2. Akanksha Farswan and Anubha Gupta, "TV-DCT: Method to Impute Gene Expression data using
    DCT based Sparsity and Total Variation Denoising", IEEE International Conference on Acoustics,
    Speech, and Signal Processing (ICASSP), 2019.
  3. Neha Jain, Anubha Gupta and Vivek Ashok Bohara, "TS-MC: Two stage matrix completion algorithm for
    wireless sensor network", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.
  4. Abhishek Aggarwal, Nikhil Sachdeva, Raj Kamal Yadav, Vishaal Udandarao, Vrinda Mittal, Anubha Gupta,
    Abhinav Mathur, "EDUQA: Educational domain question answering system usinh conceptual network
    mapping", IEEE ICASSP, 2019.
  5. Shiv Gehlot, Akanksha Farswan, Anubha Gupta and Ritu Gupta, "CT-NNBI: Method To Impute Gene
    Expression Data Using DCT Based Sparsity and Nuclear Norm Constraint with Split Bregman Iteration",
    IEEE International Symposium on Biomedical Imaging (ISBI), 2019.
    Posters
  1. Gurvinder Kaur, Ritu Gupta, Akanksha Farswan, Anubha Gupta and Sriram K., "Inferring Biological
    Pathways in Multiple Myeloma after Missing Value Imputation", 17th International Myeloma Workshop (IMW),
    Boston, USA, September 2019.
  2. Ritu Gupta, Saswati Hazra, Gurleen Kaur, Anubha Gupta, Gurvinder Kaur, Atul Sharma, Omdutt Sharma
    and Lalit Kumar, "Modified Risk Stratification (MRS) for Multiple Myeloma: A simplified Model using Machine
    Learning", International Myeloma Workshop (IMW), Boston, USA, September 2019.
    ArXiv
  1. Ekansh Sareen, Anubha Gupta, Rohit Verma, G. Krishnaveni Achary, Blessin Varkey, "Studying functional
    brain networks from dry electrode EEG set during music and resting states in neurodevelopment disorder,"
    BioRxiv, August 2019, DOI: https://doi.org/10.1101/759738.
  2. Neha Jain, Bhawna Tiwari, Anubha Gupta, Vivek Ashok Bohara, and Pydi Ganga Bahubalindruni. "eSampling:
    Rethinking Sampling with Energy Harvesting" arXiv preprint arXiv:1912.03453 (2019)
    Patents
  1. Agarwal, Puneet, Siddharth Panwar, Shiv Dutt Joshi, and Anubha Gupta. "System and method for person
    identification and personality assessment based on EEG signal." U.S. Patent 10,318,833, issued June 11, 2019.
    2. Data Citations
  2. Anubha Gupta and Ritu Gupta, "C-NMC 2019 Dataset: ALL Challenge dataset of ISBI 2019 [Dataset]," The
    Cancer Imaging Archive (TCIA), June 2019, doi: 10.7937/tcia.2019.dc64i46r.
  4. Ritu Gupta and Anubha Gupta, "MiMM_SBILab Dataset: Microscopic Images of Multiple Myeloma [Dataset],"
    The Cancer Imaging Archive (TCIA), June 2019, doi:10.7937/tcia.2019.pnn6aypl
  6. Anubha Gupta and Ritu Gupta, "SN-AM Dataset: White Blood Cancer Dataset of B-ALL and MM for Stain
    Normalization [Dataset]," The Cancer Imaging Archive (TCIA), June 2019, doi:10.7937/tcia.2019.of2w8lxr
2018
    Journals
  1. Anubha Gupta, Pramit Mallick, Ojaswa Sharma, Ritu Gupta, and Rahul Duggal, "PCSeg: Color model
    driven probabilistic multiphase level set based tool for plasma cell segmentation in multiple myeloma,"
    PLoS ONE 13(12): e0207908, Dec 2018, DOI: 10.1371/journal.pone.0207908 (2018 IF: 2.766)
  2. Priya Aggarwal, Anubha Gupta, "Low rank and sparsity constrained method for identifying overlapping
    functional brain networks," PLoS ONE 13(11): e0208068, Nov 2018, DOI: 10.1371/journal.pone.0208068
    (2018 IF: 2.766)
  3. Neha Jain, Anubha Gupta and V. A. Bohara, "PCI-MDR: Missing Data Recovery in Wireless Sensor
    Networks using Partial Canonical Identity Matrix," IEEE Wireless Communications Letters, Nov 2018,
    DOI: 10.1109/LWC.2018.2882403(2018 IF: 3.096)
  4. Sanjeev Sharma, Vimal Bhatia and Anubha Gupta, "Joint Symbol and ToA Estimation for Iterative
    Transmitted Reference Pulse Cluster UWB System," IEEE Systems Journal, DOI: 10.1109/JSYST.2018.2879650,
    Nov 2018, (2018 IF: 4.337)
  5. Anubha Gupta, Shiv Dutt Joshi, Pushpendra Singh, "On the approximate discrete KLT of fractional
    Brownian motion and applications," Journal of the Franklin Institute, vol. 355, issue 17, 2018,
    pp. 8989-9016, ISSN 0016-0032, Nov 2018, DOI: 10.1016/j.jfranklin.2018.09.023 (2018 IF: 3.576)
  6. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, "IR-UWB Sensor Network Using Massive MIMO Decision
    Fusion: Design and Performance Analysis," IEEE Sensors Journal, vol.18, no. 15, pp. 6290-6302, August 2018,
    DOI: 10.1109/JSEN.2018.2844832 (2018 IF: 2.617)
  7. Anubha Gupta, Pushpendra Singh, and Mandar Karlekar, "A novel Signal Modeling Approach for Classification of
    Seizure and Seizure-free EEG Signals", IEEE Transactions on Neural Systems and Rehabilitation Engineering
    (IEEE TNSRE), vol. 26, no. 5, pp. 925-935, 2018. DOI: 10.1109/TNSRE.2018.2818123, (2017 IF: 3.41).
  8. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, "Noncoherent IR-UWB Receiver Using Massive Antenna Arrays for
    Wireless Sensor Networks," IEEE Sensors Letters, vol. 2, pp. 1-4, March 2018.
  9. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, "Impulse Noise Mitigation in IR-UWB Communication using Signal
    Cluster Sparsity," IEEE Communications Letters, vol. 22, no. 3, pp. 558-561, 2018. (2017 IF: 1.988).
  10. Naushad Ansari and Anubha Gupta, “M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework”,
    IEEE Access, vol. 6, pp. 12213-12227, 2018. (No. of pages: 15, 2017 IF: 3.244).
    Conferences
  1. Sanjeev Sharma, Kuntal Deka, Vimal Bhatia and Anubha Gupta, "SCMA Codebook Based on Optimization of Mutual
    Information and Shaping Gain", IEEE Global Communications Conference (IEEE GLOBECOM) , UAE, 2018.
  2. Pulkit Kumar, Pravin Nagar, Chetan Arora and Anubha Gupta, "U-SEGNET: Fully Convolutional Neural Network Based
    Automated Brain Tissue Segmentation Tool", IEEE International Conference on Image Processing (ICIP),
    Greece, Oct 2018.
  3. Sanjeev Sharma, Abhijeet Bishnu, Anubha Gupta, and Vimal Bhatia, "Improved Noncoherent Receiver for Joint Range and
    Symbol Estimation," SPCOM, Bangalore, July 2018.
  4. 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.
  5. 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.
  6. 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).
    Posters
  1. Neha Jain, Vivek. A. Bohara, Anubha Gupta "Sparse Signal Recovery and Energy Harvesting for Potential
    5G Applications," ACM MobiCom 2018 (Core A*). This poster won second position in ACM Student
    Research Competition (SRC).
    ArXiv
  1. Simmi Mourya, Sonaal Kant, Pulkit Kumar, Anubha Gupta, and Ritu Gupta. "LeukoNet: DCT-based CNN architecture
    for the classification of normal versus Leukemic blasts in B-ALL Cancer."
    arXiv preprint arXiv:1810.07961 (2018).
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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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.