Fractional S-transform and its properties: a comprehensive survey

R Ranjan, N Jindal, AK Singh - Wireless Personal Communications, 2020 - Springer
In time–frequency analysis, generalization of S-transform (ST) is known as fractional S-
transform. Recently, fractional S-transform (FrST) has played an important role in the area of …

The identities of n-dimensional s-transform and applications

R Ranjan, N Jindal, AK Singh - Multimedia Tools and Applications, 2022 - Springer
The Stockwell transform is a signal processing tool based on Fourier transform (FT) with a
specific window function. The important properties of 1-dimensional (1-D) and 2 …

Image encryption using discrete orthogonal Stockwell transform with fractional Fourier transform

R Ranjan, A Thakur - Multimedia Tools and Applications, 2023 - Springer
In this article, a new image encryption algorithm has been proposed for image security. This
algorithm is created with discrete orthogonal Stockwell transform (DOST) and fractional …

Research Note: Reconstruction of seismic signals using S‐transform ridges

AS Serdyukov, AV Azarov, AV Yablokov… - Geophysical …, 2021 - earthdoc.org
We have addressed the problem of seismic data frequency–time filtration based on the S‐
transform. The S‐transform provides frequency‐dependent resolution while maintaining a …

Sampling Techniques and Error Estimation for Linear Canonical S Transform Using MRA Approach

MY Bhat, B Alnssyan, AH Dar, JG Dar - Symmetry, 2022 - mdpi.com
A linear canonical S transform (LCST) is considered a generalization of the Stockwell
transform (ST). It analyzes signals and has multi-angle, multi-scale, multiresolution, and …

A sampling theorem for fractional S-transform with error estimation

R Ranjan, N Jindal, AK Singh - Digital signal processing, 2019 - Elsevier
Fractional S-transform (FrST) is generalization of the S-transform (ST). Over the past few
years, FrST plays an active role in optics, communication, and signal processing …

[PDF][PDF] Oral Tumor Segmentation and Detection using Clustering and Morphological Process

M Bhopal, R Ranjan, A Tripathi - IJEER, 2022 - ijeer.forexjournal.co.in
░ ABSTRACT-Oral tumor is one of the most widely recognized tumors growing globally,
continuously promoting a high mortality rate. Because early detection and treatment remain …

Analysis of Facial Emotion Recognition and Classification using Convolution Neural Network

R Ranjan, Y Narayan - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Facial emotion recognition (FER) is a method for detecting emotions via facial expressions.
By means of this technique, computers or robots can understand human feelings. FER is a …

Analysis of Speech Emotion Recognition and Detection using Deep Learning

R Ranjan - … on Interdisciplinary Approaches in Technology and …, 2022 - ieeexplore.ieee.org
Speech emotion recognition (SER) is a mechanism to identify emotions from speech or
voice. With the help of SER, robots can understand human feelings. In this challenging …

Visual Monitoring of Many Objects in Real Time Using Embedded GPU

MK Singh, KJSV Kaushik, M Sahithya… - … on Advanced & …, 2023 - ieeexplore.ieee.org
In modern times, object tracking and detection play a crucial role in many real-life
applications like the traffic sector, UAVs, and many other real-life applications. Generally …