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

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 Ahead of Print 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 Ahead of Print 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 Ahead of Print Subscription Review Article -

“Microvita‑Inspired Informational Field Dynamics as a Nonlinear Signal‑Generation Mechanism in Matter–Life–Mind Systems”

Author: Gayatri Kumari, Ranveer Kumar, Dr Santwana Rani, Dr Dimple Kumari, Prof. A.K. Bhaskar

Recognizing how matter, life, and consciousness relate to one another continues to be among the most essential challenges faced by modern science.

Microvita, Informational Field Dynamics, Nonlinear Signal Generation, Emergence of Complexity, Matter–Life–Mind Interaction, Nonlinear Systems

03/04/2026 Ahead of Print Subscription Review Article -

Bridging Brain-Inspired Learning and Quantum Reasoning for Future AGI Systems

Author: Reshika Gupta, Rajnish kumar, Sachin Yadav, TinuAnand Kumar

This research paper presents a novel neuromorphic–quantum hybrid computing framework envisioned to advance intelligent systems toward artificial general intelligence.

Neuromorphic Computing, Quantum Computing, Hybrid Intelligence, Spiking–Quantum Algorithms, Edge–Cloud Integration, Artificial General Intelligence.

20/03/2026 Ahead of Print Subscription Original Research -

A Study on Feature Subset Selection in Feature Streams of Dynamic Data

Author: Priyadarshini, Shirish S. Sane

As the use of real-time data with high dimensions continues to expand across various domains, selecting important features from the dataset is a key step to improve the predictive accuracy and time taken to build a machine learning model.

Feature stream, feature selection, machine learning, real-time

26/09/2025 Published Regular Issue Subscription Review Article 26 - 32