63 citations · 180 across the 13 of their papers we have counts for
15 papers
The Generalized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and Transforms
Pushpendra Singh, Anubha Gupta, Shiv Dutt Joshi
This paper introduces Generalized Fourier transform (GFT) that is an extension or the generalization of the Fourier transform (FT). The Unilateral Laplace transform (LT) is observe…
eSampling: Energy Harvesting ADCs
Neha Jain, Nir Shlezinger, Bhawna Tiwari +4
Analog-to-digital converters (ADCs) allow physical signals to be processed using digital hardware. The power consumed in conversion grows with the sampling rate and quantization re…
SDCT-AuxNet: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis
Shiv Gehlot, Anubha Gupta, Ritu Gupta
Acute lymphoblastic leukemia (ALL) is a pervasive pediatric white blood cell cancer across the globe. With the popularity of convolutional neural networks (CNNs), computer-aided di…
Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer
Shubham Goswami, Suril Mehta, Dhruva Sahrawat +2
Developing nations lack adequate number of hospitals with modern equipment and skilled doctors. Hence, a significant proportion of these nations' population, particularly in rural…
eSampling: Rethinking Sampling with Energy Harvesting
Neha Jain, Bhawna Tiwari, Anubha Gupta +2
In general, real world signals are analog in nature. To capture these signals for further processing, or transmission, signals are converted into digital bits using analog-to-digit…
EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping
Abhishek Agarwal, Nikhil Sachdeva, Raj Kamal Yadav +4
Most of the existing question answering models can be largely compiled into two categories: i) open domain question answering models that answer generic questions and use large-sca…
PCI-MDR: Missing Data Recovery in Wireless Sensor Networks using Partial Canonical Identity Matrix
Neha Jain, Anubha Gupta, Vivek Ashok Bohara
Data loss in wireless sensor networks (WSNs) is quite prevalent. Since sensor nodes are employed for various critical applications, accurate recovery of missing data is important.…
U-SegNet: Fully Convolutional Neural Network based Automated Brain tissue segmentation Tool
Pulkit Kumar, Pravin Nagar, Chetan Arora +1
Automated brain tissue segmentation into white matter (WM), gray matter (GM), and cerebro-spinal fluid (CSF) from magnetic resonance images (MRI) is helpful in the diagnosis of neu…
M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework
Naushad Ansari, Anubha Gupta
Transform learning is being extensively applied in several applications because of its ability to adapt to a class of signals of interest. Often, a transform is learned using a lar…
Double Temporal Sparsity Based Accelerated Reconstruction in Compressed Sensing fMRI
Priya Aggarwal, Anubha Gupta
A number of reconstruction methods have been proposed recently for accelerated functional Magnetic Resonance Imaging (fMRI) data collection. However, existing methods suffer with t…
Sparse Impulse Noise Minimization in UWB Communication using Signal Characteristics
Sanjeev Sharma, Anubha Gupta, Vimal Bhatia
In many applications, ultra-wide band (UWB) system experiences impulse noise due to surrounding physical noise sources. Therefore, a conventional receiver (correlator or matched fi…
Statistical learning of rational wavelet transform for natural images
Naushad Ansari, Anubha Gupta
Motivated with the concept of transform learning and the utility of rational wavelet transform in audio and speech processing, this paper proposes Rational Wavelet Transform Learni…
Image Reconstruction using Matched Wavelet Estimated from Data Sensed Compressively using Partial Canonical Identity Matrix
Naushad Ansari, Anubha Gupta
This paper proposes a joint framework wherein lifting-based, separable, image-matched wavelets are estimated from compressively sensed (CS) images and used for the reconstruction o…
Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network
Naushad Ansari, Anubha Gupta, Rahul Duggal
Image-matched nonseparable wavelets can find potential use in many applications including image classification, segmen- tation, compressive sensing, etc. This paper proposes a nove…
DCT and Eigenvectors of Covariance of 1st and 2nd order Discrete fractional Brownian motion
Anubha Gupta, ShivDutt Joshi
This paper establishes connection between discrete cosine transform (DCT) and 1st and 2nd order discrete-time fractional Brownian motion process. It is proved that the eigenvectors…