Current Trends In Signal Processing STM Journals

About the Journal

Current Trends in Signal Processing Current Trends in Signal Processing is a peer-reviewed hybrid open-access journal launched in 2011, focused on the rapid publication of fundamental research papers on areas of Signal Processing. The journal emphasizes original research articles that …

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Journal Information

Title: Current Trends in Signal Processing

Abbreviation: ctsp

Issues Per Year: 3 Issues

P-ISSN: 2321-4252

E-ISSN: 2277-6176

Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.

DOI: 10.37591/CTSP

Starting Year: 2011

Subject: Signal Processing

Publication Format: Hybrid Open Access

Language: English

Type: Peer-reviewed Journal (Refereed Journal)

Indexing

Index Copernicus, Advanced Science Index (ASI), Google Scholar, Citefactor, Scientific Literature (SCILIT), Genamics, Indian Science Abstract

ICV Value: 2022 : 57.27

Impact Factor(SJIF):

2020 : 6.885 ,
2021 : 6.57 ,
2022 : 6.103 ,
2024 : 6.031

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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ctsp maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Prof. Ushaa Eswaran, Principal

Indira institute of technology & sciences,markapur, TAMILNADU Pincode 600024, India, 600024

Email :

Institutional Profile Link:

Journal: Current Trends in Signal Processing

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Latest Articles

Ahead of Print

Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals

Author: Pradnya Kharde, Sunil Kharde, Jyoti Lokhande, Sangita Wamane

Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals.

DiffBIR model LSNR, Signal recovery, Time-frequency images Communication signals, Diffusion Models, Noise Suppression

25/06/2026 Ahead of Print Subscription Review Article -

Real-Time Edge Detection Camera Module Using Discrete Taylor Transform and Heat Equation (PDE): An Applied Mathematical Approach

Author: M.Sirisha, K.Dasaradha Ramaiah

In modern digital signal processing, the capability for denoising and smoothing in real time is very important in scientific, engineering, and industrial applications.

Discrete Taylor Transform, Heat Equation, Signal Denoising, PDE, Real-Time Processing, Numerical Diffusion

17/06/2026 Ahead of Print Subscription Review Article -

Multi-Parameter Biomedical Sensor-Based Mental State Classification Using EEG And Deep Learning Techniques

Author: Asmita Sureshrao Gawande, Amita M. Tembhare, D.S.Dhote

With mental health concerns becoming increasingly widespread, there is a strong need for systems that can monitor conditions like stress, anxiety, and fatigue in a continuous and non- invasive manner.

EEG (Electroencephalography), Mental State Classification, Multi-Parameter Biomedical Sensor System, LM35 Temperature Sensor, Pulse Sensor (Heart Rate), SpO₂ Monitoring, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Feature Extraction (FFT, Wavelet Transform), Wearable Healthcare System, Signal Conditioning Circuit

06/06/2026 Ahead of Print Subscription Review Article -

Spectral Mapping and Tracking Error of MBOC signal and Wavelet based GNSS receiver

Author: Shubham Kumar Singh, Soumyo Nath Tripathy, Rintu Kumar Gayen, Debashish Chakravarty, Tamesh Halder

This research paper delves into the historical evolution and contemporary state of the art in navigation technologies, emphasizing the paramount importance of reliable positioning systems.

Global Navigation Satellite Systems (GNSS), Global Positioning System (GPS), Position, Velocity and Time (PVT), Trilateration, Doppler shift, Multiplexed Binary Offset Carrier (MBOC), Frequency plan, Signal structure, Wavelet, Acquisition and Tracking.

28/04/2026 Published Regular Issue Subscription Review Article -

From Noise to Insight: An Academic Study of Electrical Signal Processing

Author: Dr V. Basil Hans

Electrical signal processing is very important for turning raw, often noisy data into useful and actionable information.

Digital Signal Processing (DSP), Analogue Signals, Noise Reduction, Signal Filtering, Time-Domain Analysis, Frequency-Domain Analysis, Spectral Analysis, Signal Modulation, and Signal-to-Noise Ratio (SNR)

03/04/2026 Published Regular Issue Subscription Review Article -

Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems

Author: Bibhu Prasad Ganthia, Rosalin Pradhan

This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems.

Fractal entropy, adaptive signal reconstruction, non-stationary signals, biomedical signal processing, ECG analysis, communication systems, noise reduction, multi-resolution analysis, signal decomposition, intelligent filtering.

03/04/2026 Published Regular Issue Subscription Review Article -