E-ISSN: 2277–6176 | P-ISSN: 2321–4252 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access
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 …
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.
Prof. Ushaa Eswaran, Principal
Indira institute of technology & sciences,markapur, TAMILNADU Pincode 600024, India, 600024
Email :
Journal: Current Trends in Signal Processing
Electrical signal processing is very important for turning raw, often noisy data into useful and actionable information.
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.
Recognizing how matter, life, and consciousness relate to one another continues to be among the most essential challenges faced by modern science.
This research paper presents a novel neuromorphic–quantum hybrid computing framework envisioned to advance intelligent systems toward artificial general intelligence.
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.
Using the techniques of algebra, notably polynomial algebras and modules, algebraic signal processing (ASP) is a contemporary, abstract framework that generalizes conventional signal processing— including Fourier analysis, filtering, and convolution.
