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Publications@SBILab

Below is the list of publications from this lab. For complete list on publications of individual faculty/student, please visit their personal web pages.

2020

  • Journals
    1. Shiv Gehlot, Anubha Gupta, and Ritu Gupta, "SDCT-AuxNet^θ: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis," Accepted, Medical Image Analysis, January 2020. (2019 I.F.-8.88) [PDF]
    2. Gurvinder Kaur, Vivek Ruhela, Lata Rani, Anubha Gupta, Krishnamachari Sriram, Ajay Gogia, Atul Sharma, Lalit Kumar and Ritu Gupta, "RNA-Seq profiling of deregulated miRs in CLL and their impact on clinical outcome.” Blood Cancer Journal, Nature, vol. 10, no. 6 2020. DOI:10.1038/s41408-019-0272-y (2020 IF: 7.895) [PDF]
    3. Akanksha Farswan, Anubha Gupta, Ritu Gupta, and Gurvinder Kaur, "Imputation of gene expression data in blood cancer and its significance in inferring biological pathways", Frontiers in Oncology, vol. 9, pp 1442, 2019, DOI: https://doi.org/10.3389/fonc.2019.01442 (2020 IF: 4.13) [PDF]
  • Conferences
    1. Shiv Gehlot, Anubha Gupta, and Ritu Gupta, "EDNFC-NET: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation," Accepted, IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP-2020), Barcelona, Spain, May 2020.
    2. Mansi Saxena, Ekansh Sareen and Anubha Gupta, “Understanding Functional Brain Activation using Source Localization of EEG Signals in Motor Imagery Tasks” Accepted, IEEE 12th International Conference on Communication Systems and Networks, January 2020. ( This paper also won the "Best Paper Award". )
    3. Syesha Girdher, Anubha Gupta, Snehlata Jaswal and Vinayak Naik, “Predicting Human Response in Feature Binding Experiment Using EEG Data” Accepted, IEEE 12th International Conference on Communication Systems and Networks, January 2020.

2019

  • Books
    1. Anubha Gupta and Ritu Gupta (Eds.), ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging. 2019, Springer Singapore. [Link]
  • 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) [PDF] [Code]
    2. Priya Aggrawal and Anubha Gupta, "Multivariate Graph Learning for Detecting Aberrant Connectivity of Dynamic Brain Networks in Autism", Medical Image Analysis, vol. 56, pp. 11-25, 2019, DOI: 10.1016/j.media.2019.05.007 (2019 IF: 8.88) [PDF] [Code]
    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: 1.819) [Link][PDF]
    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, 2019, DOI: 10.1016/j.leukres.2018.12.005 (2019 IF: 2.066) [PDF]
    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: 3.478) [PDF]
    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: 3.457) [PDF]
    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: 3.546) [PDF]
    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 2019, DOI: 10.1109/JSEN.2018.2878788, (2019 IF: 3.076)[PDF]
    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:5.339) [PDF]
    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: 2.943)[PDF][Code].
  • Conferences
    1. Anubha Gupta, Akanksha Farswan, “Rethinking Teaching Practices for Signal Processing Education”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 [PDF] (received "Education Innovation Award" at ICASSP-19, Brighton).
    2. Akanksha Farswan, 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 [PDF][Code].
    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 [PDF].
    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 International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 [PDF].
    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 [PDF][Code].
    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 andLalit 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. PDF
  • Data Citations
    1. Anubha Gupta and Ritu Gupta (2019). C-NMC 2019 Dataset: ALL Challenge dataset of ISBI 2019 [Dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/tcia.2019.dc64i46r
    2. Ritu Gupta and Anubha Gupta (2019). MiMM_SBILab Dataset: Microscopic Images of Multiple Myeloma [Dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/tcia.2019.pnn6aypl
    3. Anubha Gupta and Ritu Gupta (2019). SN-AM Dataset: White Blood Cancer Dataset of B-ALL and MM for Stain Normalization [Dataset]. The Cancer Imaging Archive. https://doi.org/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) [PDF]
    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) [PDF]
    3. Neha Jain, Anubha Gupta and Vivek 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) [PDF]
    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) [PDF]
    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)[PDF]
    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) [PDF]
    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).[PDF]
    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, DOI: 10.1109/LSENS.2017.2778430, March 2018.
    9. [PDF]
    10. 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. DOI: 10.1109/LCOMM.2017.2785848, (2019 IF: 3.457).[PDF]
    11. Naushad Ansari and Anubha Gupta, “M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework”, IEEE Access, vol. 6, pp. 12213-12227, 2018, DOI: 10.1109/ACCESS.2017.2788084(2017 IF: 3.244).[PDF] [MATLAB Codes]
  • 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.[PDF]
    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. [PDF]
    3. Sanjeev Sharma, Abhijeet Bishnu, Anubha Gupta, and Vimal Bhatia, "Improved Noncoherent Receiver for Joint Range and Symbol Estimation," SPCOM, Bangalore, July 2018 [PDF].
    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. [PDF]
    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. [PDF]
    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). [PDF]
  • 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 has also 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. [PDF] [Code]
  • 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, (2019 IF: 8.88). PDF , MATLAB Codes
    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 power-line 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,” 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.
  • ArXiv
    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, Ananya Sen Gupta, “Shallow water acoustic channel estimation using two-dimensional frequency characterization,” Journal of the Acoustical Society of America (JASA), vol. 140, no. 5, pp.3995-4009, 2016. DOI: http://dx.doi.org/10.1121/1.4967448 (2017 IF: 1.547). PDF MATLAB code on Matlab Central MATLAB code on Github
    2. Priya Aggarwal and Anubha Gupta, “Accelerated fMRI reconstruction using Matrix Completion with Sparse Recovery via Split Bregman,” Neurocomputing, Elsevier, vol. 216, pp. 319-330, 2016. DOI:10.1016/j.neucom.2016.08.016, (2017 IF: 3.317). PDF MATLAB code
    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, 2016. DOI: 10.1109/ACCESS.2016.2601779, (2017 IF: 3.244).
    4. Priya Aggarwal, Anubha Gupta, and Vivek A. Bohara, “Recursive Least Squares Channel Estimation for Rapidly Time-Varying Scenarios in IEEE 802.11p,” Wireless Personal Communications, Springer, vol. 89, no. 1, pp. 227-240, 2016. DOI:10.1007/s11277-016-3263-3, (2017 IF: 0.951). PDF
  • 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. PDF
    2. Rahul Duggal, Anubha Gupta, Ritu Gupta, Manya Wadhwa, and Chirag Ahuja, “Overlapping Cell Nuclei Segmentation in Microscopic Images UsingDeep Belief Networks,” Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), India, December 2016. PDF Codes
    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), India, December 2016.
    4. Naushad Ansari and Anubha Gupta, "Joint Framework for Signal Reconstruction using Matched Wavelet Estimated from Compressively Sensed Data," IEEE Data Compression Conference (DCC), USA, March 2016. PDF
    5. Anubha Gupta and ShivDutt, "Connection between DCT and Discrete-time Fractional Brownian motion," IEEE Data Compression Conference (DCC), USA, March 2016.
    6. Sanjeev Sharma, Vimal Bhatia, and Anubha Gupta, “Sparsity Based UWB Receiver Design in Additive Impulse Noise Channels,” IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Edinburgh, UK, 2016. PDF
  • Posters
    1. Pramit Mallick, Ojaswa Sharma, Rahul Duggal, Anubha Gupta, and Ritu Gupta, "GPU based Segmentation of Plasma Cells in Multiple Myeloma Images," 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,” 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,” 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,” 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,” 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. Neha Jain, Vivek Ashok Bohara and Anubha Gupta, “Compressive Cooperative Communication with Decode and Forward Relay,” International conference on communication systems and networks (Comsnets), Bangalore, India, 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, 2016. PDF ar arXiv

2015

  • Book-Chapters
    1. Priya Aggarwal, Anubha Gupta, and Ajay Garg, "Joint Estimation of Hemodynamic Response Function and Voxel Activation in Functional MRI Data," In: Navab N., Hornegger J., Wells W., Frangi A. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015. Lecture Notes in Computer Science, vol 9349. Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-24553-9_18. PDF
  • Journals
    1. Adriana Vamosiu, Marvin Titus, and Anubha Gupta, "Conditional Convergence of Nonresident Tuition Rates at Public Research Universities: A Panel Data Analysis," Higher Education, vol. 70, no. 6, pp. 923-940, December 2015. (2017 IF: 1.571)
  • Conferences
    1. Naushad Ansari, Anubha Gupta and Ananya Sen Gupta, "Physics Inspired CS based Underwater Acoustic Channel Estimation," IEEE Global Conference on Signal and Information Processing (GlobalSip), USA, December 2015. PDF MATLAB code on Matlab Central MATLAB code on Github
    2. Priya Aggarwal, Anubha Gupta and Ajay Garg, "Joint Estimation of Activity Signal and HRF in fMRI using Fused LASSO," IEEE Global Conference on Signal and Information Processing (GlobalSip), USA, December 2015. PDF
    3. Priya Aggarwal, Anubha Gupta, and Vivek Ashok Bohara, “A Guard Interval Assisted OFDM Symbol-Based Channel Estimation for Rapid Time-Varying Scenarios in IEEE 802.11p,” IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Hong Kong, September 2015. PDF
    4. Naushad Ansari, and Anubha Gupta, "Lifting-based Rational Wavelet Design from a Given Signal," IEEE International Conference on Digita Signal Processing (DSP), Singapore, July 2015. [PDF]
    5. Naushad Ansari, and Anubha Gupta, "Signal-Matched Wavelet Design via Lifting using Optimization Techniques," IEEE International Conference on Digita Signal Processing (DSP), Singapore, July 2015. PDF
    6. Garima Ahuja, Anubha Gupta, Harsh Wardhan, and Venkatesh Choppella, "Assessing the impact of Virtual Labs: a case study with the lab on Advanced VLSI," IEEE ICALT Conference, Hualien, Taiwan, July 2015.
    7. Anupriya Gogna, Sri Harsha Gade, and Anubha Gupta, "Design of Signal-Matched Critically Sampled FIR Rational Filterbank," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Australia, April 2015.  
    8. 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 (ISUT), National Institute of Ocean Technology, Chennai, India, February 2015. PDF MATLAB code on Matlab Central MATLAB code on Github
    9. 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), National Institute of Technology Calicut (NITC), India February 2015.

2014

  • Journals
    1. Anubha Gupta and ShivDutt Joshi, "Estimation of Multipath Fading Channel Using Fractal Based VSLMS Algorithm," WSEAS Transactions on Signal Processing, vol. 10, pp 231-242, April 2014.
  • Conferences
    1. Mandar Karlekar and Anubha Gupta, "Stochastic modeling of EEG rhythms with fractional Gaussian Noise," Proceedings of European Signal Processing Conference (EUSIPCO), pp. 2520-2524, Portugal, September 2014.
    2. Anubha Gupta and ShivDutt Joshi, "On the Concept of Intrinsic Wavelet Functions," IEEE International Conference on Signal Processing & Communications (SPCOM), IISc Bangalore, India, July 2014.