Advanced Signal Processing Systems: Selected Proceedings of the 2025 7th International Symposium on Signal Processing Systems(1525 Lecture Notes in Electrical Engineering)

This book comprises peer reviewed papers presented at 2025 7th International Symposium on Signal Processing Systems (SSPS 2025), which was held at Industrial University of Ho Chi Minh City, Vietnam, during May 16–18, 2025. SSPS in an annual symposium which aims to bring together diversity of scholars and researchers from different nations and regions to share ideas and new perspectives in both theoretical and practical aspects of signal processing system. This book features the latest research developments in design and implementation of signal processing system. The topics covered in this book contain computer vision and image processing methods, machine learning and data transmission in communication and signal systems, next generation communication systems and information networks, signal detection and reliability analysis in intelligent power electronic systems.

Table of Contents:
Computer Vision and Image Processing Methods.- Sparse Mode Selection based Light Field Image Coding for Variable Bitrate Communication.- Hybrid Approach to Oyster Dataset Creation: Integrating Deep Learning and Auto Labeling in Image Processing.- Vietnamese Large-scale Mammography Analysis: A Comparative Study of State-of-the-Art Deep Learning Methods.- Feature Extraction and Classification of ECG Signals Using Multi-Channel 1-D CNN.- A Wrapper Feature Selection Method Based on Binary Sine Cosine Algorithm for Multi-label Biological Data Classification.- Enhancing an Efficient Contactless Palm Print Recognition System Tailored for University Environment.- Machine Learning and Data Transmission in Communication and Signal Systems.- Joint Active and Passive Beamforming Optimization Using Unsupervised Deep Learning for Intelligent Reflecting Surface-Aided Multiple-Input Single-Output Systems.- New Proof of the Decentralized BEER Optimization Algorithm under the Polyak-Lojasiewicz Condition.- Investigating and Evaluating the Effectiveness of Pre-trained Deep Learning models for Text-To-SQL task in Improving Search Experience on E-commerce Platforms in Vietnam.

About the Author :
Thuong Le Tien was born and grew up in Saigon, now is Ho Chi Minh City—Vietnam. He got Bachelor and Master Degrees in Engineering from the Ho Chi Minh City University of Technology, HCMUT, Vietnam, in 12-1980 and 1995, respectively, since May-1981 he has been a teaching assistant then the lecturer in the Electronics & Telecommunications Department, University of Technology (HCMUT), Ho Chi Minh City National University (VNU). He had spent 3 years in the Federal Republic of Germany as a visiting scholar at the Ruhr University of Bochum from 1989 until 1992. He received the Ph.D. in Telecommunications from the University of Tasmania, Australia, in 9-1998. He served as a deputy department head for many years and had been the Telecommunications Department Head from 1998 until 2002. He was also appointed for the second position as the director of Center for Overseas Studies from 1998 up to May-2010. He is a full Professor, Chair of the Professor Assessment Committee of HCMUT and member of National Electrical-Electronics-Automation Professor Assessment Committee from 2019 up to date.