184 citations · 253 across the 16 of their papers we have counts for
17 papers
Altering Backward Pass Gradients improves Convergence
Bishshoy Das, Milton Mondal, Brejesh Lall +2
In standard neural network training, the gradients in the backward pass are determined by the forward pass. As a result, the two stages are coupled. This is how most neural network…
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…
Image fusion using symmetric skip autoencodervia an Adversarial Regulariser
Snigdha Bhagat, S. D. Joshi, Brejesh Lall
It is a challenging task to extract the best of both worlds by combining the spatial characteristics of a visible image and the spectral content of an infrared image. In this work,…
Quantification of Differential Information using Matrix Pencil
Snigdha Bhagat, S. D. Joshi
Any traditional classification problem in general involves modelling individual classes and in turn classification by evaluating the similarity of the test set with the modelled cl…
Unified Functorial Signal Representation III: Foundations, Redundancy, and functors
Salil Samant, Shiv Dutt Joshi
In this paper we propose and lay the foundations of a functorial framework for representing signals. By incorporating additional category-theoretic relative and generative perspect…
Orthogonal Ramanujan Sums, its properties and Applications in Multiresolution Analysis
Devendra Kumar Yadav, Gajraj Kuldeep, S. D. Joshi
Signal processing community has recently shown interest in Ramanujan sums which was defined by S.Ramanujan in 1918. In this paper we have proposed Orthog- onal Ramanujan Sums (ORS)…