Advanced signal processing with mathematical algorithms for noise reduction and data reconstruction
*V. Dankan GowdaCorresponding authordankan.v@bmsit.inDepartment of Electronics and Communication EngineeringBMS Institute of Technology and ManagementBangalore, Karnataka, 560119, IndiaView full profile → , N. Suganthisuganthi_neelagiri@yahoo.comDepartment of Electrical & Electronics EngineeringDayananda Sagar College of EngineeringBangalore, Karnataka, 560111, IndiaView full profile → , Madan Mohanrao Jagtapmadan.jagtap@siom.inDepartment of Operations ManagementNashik Campus, Constituent of Symbiosis International (Deemed University)Symbiosis Institute of Operations ManagementPune, Maharashtra, 422008, IndiaView full profile → , Sampada Abhijit Dholesampada.dhole@bharatividyapeeth.eduDepartment of Electronics and TelecommunicationBharati Vidyapeeth’s College of Engineering for WomenPune, Maharashtra, 411043, IndiaView full profile → , Jayamala Kumar Patiljayamala.p@rediffmail.comDepartment of Electronics and Telecommunication EngineeringBharati Vidyapeeth’s College of EngineeringKolhapur, Maharashtra, 416013, IndiaView full profile → , K.D.V. Prasadkdv.prasad@sibmhyd.edu.inAffiliation 1Department of ResearchSymbiosis Institute of Business ManagementHyderabad, Telangana, 509217, IndiaAffiliation 2Department of ResearchSymbiosis International (Deemed University)Pune, Maharashtra, 412115, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Nov 2024
- Published Online:
- 11 Jun 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-2123
- Pages:
- 2453–2463
Abstract
Keywords
Subject Classifications
References
[1] H. Lei, L. Zhaohui, C. Yuxin, Q. Zhang, L. Zhou, J. Yuan, X. Yang, D. Mingyue, M. Yuchi, and W. Qiu, “Self-Supervised Optimization of RF Data Coherence for Improving Breast Reflection UCT Reconstruction,” IEEE Trans. Ultrasonics, Ferroelectrics, Frequency Control, vol. 72, no. 8, pp. 1147–1159 (Aug. 2025).
[2] R. Senthil Kumar and K. D. V. Prasad, “Securing digital authentication with cryptographic innovations in intrinsic verification systems,” J. Discrete Math. Sci. Cryptogr., vol. 27, no. 2-A, pp. 317–328 (2024).
[3] P. Iniyatharasi, M. P. Rajasekaran, T. A. Prasath, and S. Kannan, “Pet image reconstruction using ANN-EM method,” 2015 Int. Conf. Adv. Comput. Commun. Syst., Coimbatore, India, pp. 1–7 (2015).
[4] Q. Zhang, “Deep Generalized Learning Model for PET Image Reconstruction,” IEEE Trans. Med. Imaging, vol. 43, no. 1, pp. 122–134 (Jan. 2024).
[5] A. Biguri, “Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam CT Reconstruction,” IEEE Open J. Signal Process., vol. 6, pp. 942–949 (2025).
[6] R. Shekhar and A. Chaturvedi, “Securing networked image transmission using public-key cryptography and identity authentication,” J. Discrete Math. Sci. Cryptogr., vol. 26, no. 3, pp. 779-791 (2023).
[7] S. Zhang and H. Qian, “Electromagnetic diffraction tomography based on Wi-Fi signals,” 2024 IEEE 7th Adv. Inf. Technol., Electron. Autom. Control Conf. (IAEAC), Chongqing, China, pp. 1555–1558 (2024).
[8] T. Thiruvenkadam and K. D. V. Prasad, “Cryptographic image-based data security strategies in wireless sensor networks,” J. Discrete Math. Sci. Cryptogr., vol. 27, no. 2-A, pp. 293–304 (2024).
[9] P. Sarma and M. Rahman, “Mathematical analysis of wavelet-based multi-image compression in medical diagnostics,” J. Discrete Math. Sci. Cryptogr., vol. 27, no. 2-B, pp. 675–687 (2024).
[10] S. Kumar and A. K. Gupta, “A novel approach of unsupervised feature selection using iterative shrinking and expansion algorithm,” J. Interdiscip. Math., vol. 26, no. 3, pp. 519-530 (2023).
[11] N. Naziya and V. S. Chinamuttevi, “A novel RF-SMOTE model to enhance the definite apprehensions for IoT security attacks,” J. Discrete Math. Sci. Cryptogr., vol. 26, no. 3, pp. 861-873 (2023).
[12] H. G. Govardhana Reddy and K. Raghavendra, “Vector space modelling-based intelligent binary image encryption for secure communication,” J. Discrete Math. Sci. Cryptogr., vol. 25, no. 4, pp. 1157-1171 (2022).
[13] C. -O. Lee, K. Jeon, S. Ahn, H. J. Kim, and E. J. Woo, “Ramp-Preserving Denoising for Conductivity Image Reconstruction in Magnetic Resonance Electrical Impedance Tomography,” IEEE Trans. Biomed. Eng., vol. 58, no. 7, pp. 2038–2050 (July 2011).
[14] S. Pain, M. Sarma, and D. Samanta, “Parametric Sparse Coding of Brain Connectivity Graph Signals for Schizophrenic EEG data,” 2024 15th Int. Conf. Comput. Commun. Networking Technol. (ICCCNT), Kamand, India, pp. 1–7 (2024).
[15] Q. Wu, F. Zhang, S. Guo, K. Yang, and H. Shen, “A Unified and Fully Automated Framework for Wavelet-Based Attacks on Random Delay,” IEEE Trans. Comput., vol. 73, no. 9, pp. 2206–2219 (Sept. 2024).
[16] G. Manivasagam and K. D. V. Prasad, “Novel approaches to biometric security using enhanced session keys and elliptic curve cryptography,” J. Discrete Math. Sci. Cryptogr., vol. 27, no. 2-A, pp. 477–488 (2024).
[17] F. Zhang, X. Dong, B. Yang, Y. Zhou, and K. Ren, “A systematic evaluation of wavelet-based attack framework on random delay countermeasures,” IEEE Trans. Inf. Forensics Secur., vol. 15, pp. 1407–1422 (2019).
[18] J. G. van Woudenberg, M. F. Witteman, and B. Bakker, “Improving Differential Power Analysis by Elastic Alignment,” in Topics in Cryptology – CT-RSA 2011 (Cryptographers’ Track at the RSA Conference), San Francisco, CA, USA: Springer-Verlag, pp. 104–119 (2011).
