Items where Subject is "Digital Signal Processing"
- VELS Subject Areas (31)
- Electronics and Communication Engineering (31)
- Digital Signal Processing (31)
- Electronics and Communication Engineering (31)
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ALDRIN SILVERA, S and GIRISH MITHRAN, G and Balakrishna, R. (2026) AI-BASED EMOTION RECOGNITION FROM VOICE WITH RELIEF & RECOMMENDATION SYSTEN. In: 7th International conference on computational Intelligence and Industry 5.0.
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Balaji, A K N and Mary Livinsa, Z (2025) A Survey On Denoising Bioacoustic Signals: Comparing Aerial And Underwater Signal Processing Techniques. International Journal of Environmental Sciences, 11 (13S). pp. 781-800. ISSN 2229-7359
Bharathy, G.T. and Rajendran, V. and Tamilselvi, T. and Meena, M. (2020) A Study and Simulation of Spectrum Sensing Schemes for Cognitive Radio Networks. In: 2020 7th International Conference on Smart Structures and Systems (ICSSS), Chennai, India.
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Elavel Visuvanathan, G. and Jaya, T. (2022) A Novel Solution for Carrier Frequency Offset (CFO) Minimization for Efficient 5G Wireless Communication Using OFDM for Internet of Things (IoT). In: Micro-Electronics and Telecommunication Engineering. Springer, pp. 297-307.
Elavel Visuvanathan., G and Jaya, T. (2021) A Novel Approach to Evaluate Reduced Inter Symbol Interference in UFMC Systems. In: A Novel Approach to Evaluate Reduced Inter Symbol Interference in UFMC Systems. Springer.
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Gavini, Venkateswarlu and Jothi Lakshmi, G.R. (2023) Labelled Feature Dimensionality Reduction for Liver Disorder Classification in CT Liver Images. In: 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India.
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Jaya, T. and Raaja, V. Karthick and Sharanya, C. and Rajendran, V. (2017) An efficient power allocation and joint optimal sensing of spectrum in CDMA-based cognitive radio networks. In: 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai.
Jerritta, S and Murugappan, M. and Manasa, D and Gayathri, R (2022) Discrete Wavelet Transform based Pain Assessment using Multiple Physiological Signals. In: 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), Trichy, India.
Jerritta, Selvaraj (2026) RQA-based identifcation of emotions from electrocargiogram signals for emotion regulation in children with autism spectrum disorder. Health Information Science and Systems, 14 (47): 47(2026). pp. 1-16. ISSN 20472501
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Kaushik, K. and Thamizhvani, T.R. and Gowtham, R. and Indrajith, S.R (2023) Acquisition and Pre-Processing of the EEG Signal based on Motor Activities. In: 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India.
Kohila, S. and Sankara Malliga, G. (2019) Texture Analysis on Thyroid Ultrasound Images for the Classification of Hashimoto Thyroiditis. In: Computer Aided Intervention and Diagnostics in Clinical and Medical Images. Springer Link, pp. 271-279.
Kumudham, R and Lakshmi, R and Supraja, S and Rajendran, V (2020) Detection of Pipeline using Machine Learning Algorithm and Analysing the Effect of Resolution Enhancement on Object Recognition Accuracy. Journal of Xidian University, 14 (5). ISSN 10012400
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Latifoğlu, Fatma and Orhanbulucu, Fırat and Murugappan, Murugappan and Gürbüz, Sümeyye Nur and Cayır, Burçin and Avcı, Fatma Zehra (2025) EEG signal analysis for the classification of Alzheimer’s and frontotemporal dementia: a novel approach using artificial neural networks and cross-entropy techniques. International Journal of Neuroscience. pp. 1-14. ISSN 0020-7454
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Madona B, Sahaai and Rajarajan, P (2026) Dynamic Autoencoder-Based Framework for Performance Enhancement in OFDM Systems Using CNN and Attention Mechanisms. International Journal of Communication Systems, 39 (1). ISSN e70401
Meena, M. and Padma, E. (2026) Scalable Electronics Architectures for Intelligent Signal Computation. SRR BOOKS . SRR PUBLICIZING RESEARCH, CHENNAI. ISBN 9788168553859
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P, Vijayalakshmi. and M, Seetharaman and E, Praveen (2024) Underwater Image Enhancement and Object Recognition Using CNN Algorithm. In: 2024 5th IEEE Global Conference for Advancement in Technology (GCAT), Bangalore, India.
Parameshwara, Ravikiran and Narayana, Soujanya and Murugappan, Murugappan and Radwan, Ibrahim and Goecke, Roland and Subramanian, Ramanathan (2024) Exploring Electroencephalography-Based Affective Analysis and Detection of Parkinson’s Disease. Intelligent Computing, 3. ISSN 2771-5892
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R, Chandrasekaran and S, Vijayaraj and M, Balakumaran and C, Arul Stephen and D, Abhijjit and K, Soundarya M. (2025) Interactive Sign Language Learning System-A Comprehensive Application for Sign Language Alphabet and Word Recognition. In: 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL), Bhimdatta, Nepal.
R, Chandrasekaran and S, Vijayaraj and R, Jothi Lakshmi G (2022) Spectral Estimation of ElectroGastroGram Signal. In: 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), Bangalore, India.
R. Jothilakshmi, G and Mohana Priya, P and K. Suvithra, V (2018) Study of Hardware Implementation on Size of the Microcalcification Detection Using Embedded Systems. International Journal of Engineering & Technology, 7 (3.27). p. 415. ISSN 2227-524X
Rajkamal, R. and Kumar, Narayanan and Swaraj Paul, Chinnaraju (2016) Automatic Real Time Observer based Calibration of Surround System. Indian Journal of Science and Technology, 9 (32). ISSN 0974-6846
Rami Reddy, Sareddy Venkata and Premila, T R and Reddy, Ch. Rami (2023) Comparison of PI and FLC for Sepic and Buck Boost Converter Based Photovoltaic Systems. In: 2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), Bangalore, India.
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S, Gopalakrishnan and B, Ebenezer Abishek and A, Vijayalakshmi and V, Rajendran (2021) Analysis And Diagnosis Using Deep -Learning Algorithm On Erythemato-Squamous Disease. International Journal of Engineering Trends and Technology, 69 (3). pp. 52-57. ISSN 22315381
Saradha, Dr.S. and Priyanandhini, - and Mangayarkarasi, S. and Sreekala, T. (2019) Single Image Dehazing using Transmission Estimation. International Journal of Innovative Technology and Exploring Engineering, 8 (10). pp. 2852-2857. ISSN 22783075
Shenbagalakshmi, V. and Jaya, T. (2021) Simulation of Performance of Air Conditioning System using Multi-nets Artificial Neural Networks (MN-ANN). 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC). pp. 517-520.
sangeetha, Karunakaran and Akila, A (2026) ENHANCED FACE RECOGNITION SYSTEM INTEGRATING GANAUGMENTED CNN FEATURES WITH ICA AND VISION TRANSFORMER. Journal of Engineering and Technology for Industrial Applications, 12 (57). pp. 820-831. ISSN 24470228
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Thamizhvani, T.R. and Joseph, Josline Elsa and Babu, Bincy and Rithikka, U and Rohini, D and Josephin Arockia Dhivya, A. (2018) Comparison of Normal and Abnormal Conditions in ECG Using RR Variablity and Spectral Density. International Journal of Engineering & Technology, 7 (2.25). p. 28. ISSN 2227-524X
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VISTAS, T. Vijaya Kumar and VISTAS, Madona B. Sahaai (2025) DYNAMIC INTELLIGENT CHANNEL ASSIGNMENT MODEL WITH OPTIMIZED THROUGHPUT-BASED COGNITIVE UAV GUIDED SMART INTERNET OF THINGS ENVIRONMENT. International Journal of Maritime Engineering.
Vengaloor, Reshma P and Hussain, S. Jagir and Prasad, Reshmi Krishna and Alex, Neethu Susan and R, Rahul and Jaya, T and UNSPECIFIED1 and UNSPECIFIED1 (2026) Joint Energy and Reliability Optimization in Hybrid Optical Acoustic Underwater IoT Networks. In: International Conference on Smart Electronic Devices and Intelligent Systems (ICSEDIS-2026), 13 to 15 April 2026, Chiramanangad, India.
Venkata Lakshmi Keerthi, K and Vijayalakshmi, P. and Rajendran, V. (2026) A Hybrid VGG-ResNet Feature Fusion Network for Object Detection in Side-Scan Sonar Images. International Journal of Emerging Research in Engineering, Science, and Management, 5 (1). pp. 1-12. ISSN 2583-4894
Vijayalakshmi, P. and Sreeraj, Anoop and Rajendran, V. (2025) Development of clustering with Bayesian algorithm for optimal route formation in software-defined radio underwater WSN. Development of clustering with Bayesian algorithm for optimal route formation in software-defined radio underwater WSN, 38 (1). pp. 254-261.
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