Advances in Signal Processing and Communication Systems
Editat de B. Annappa, G. Indumathien Limba Engleză Hardback – 15 noi 2026
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Specificații
ISBN-13: 9789819578122
ISBN-10: 9819578124
Pagini: 304
Dimensiuni: 155 x 235 mm
Editura: Springer Verlag, Singapore
ISBN-10: 9819578124
Pagini: 304
Dimensiuni: 155 x 235 mm
Editura: Springer Verlag, Singapore
Notă biografică
B. Annappa completed his Ph.D. in Computer Science and Engineering from the National Institute of Technology Karnataka (NITK), Surathkal. He holds an M.Tech. in Computer Science and Engineering from NITK Surathkal, and a B.E. in Computer Science and Engineering from Govt. BDT College of Engineering, Davangere, affiliated with Mysore University. He served as the Cöordinator for the ISRO¿RESPOND sponsored R&D project titled “Customized Reconfigurable Platform for Image/Video Compression Based on Deep Learning Algorithms for Hyperspectral Images.” His research interests include cloud computing, big data analytics, distributed systems, process mining, social networks, and software engineering.
G. Indumathi is currently working as an Associate Director and formerly served as the Principal at the Cambridge Institute of Technology, KR Puram, Bangalore—an autonomous institute affiliated with Visvesvaraya Technological University (VTU), Belagavi. Her major research areas include low¿power VLSI and embedded systems, SoC design, networks, and image processing. She has published several papers in reputed journals and conferences. Dr. Indumathi has received project grants from organizations such as AICTE, MeitY, and DST. She has also conducted numerous Faculty Development Programs (FDPs), conferences, and international symposiums, and has received several awards in recognition of her contributions to academia and research.
G. Indumathi is currently working as an Associate Director and formerly served as the Principal at the Cambridge Institute of Technology, KR Puram, Bangalore—an autonomous institute affiliated with Visvesvaraya Technological University (VTU), Belagavi. Her major research areas include low¿power VLSI and embedded systems, SoC design, networks, and image processing. She has published several papers in reputed journals and conferences. Dr. Indumathi has received project grants from organizations such as AICTE, MeitY, and DST. She has also conducted numerous Faculty Development Programs (FDPs), conferences, and international symposiums, and has received several awards in recognition of her contributions to academia and research.
Cuprins
Arrhythmia Abnormal Detection and Classification in Wireless Body Sensor Networks using Deep Learning.- Design and Analysis of Low-power Multiplexer-Based Bit Flipping LFSR for Generating Pseudo Random Sequence.- A Review on Novel Approach for 3D mapped Navigation Systems using Integrated SONAR and LiDAR.- DOA Estimation Using a Modified MUSIC Algorithm for Smart Computing Applications with 3D Coprime Arrays.- AI-Driven Sparse Array-Based DOA Estimation Using Hybrid Machine Learning and Optimization Techniques.- Dynamic Root-MUSIC Algorithm for DOA Estimation with Moving Coprime Arrays.- Design and Implementation of a Wireless Mobile Computing Platform for Fall Detection.- Assessing the Effectiveness of Chirped Fiber Bragg Grat-ings in Dispersion Compensation.- Binary classification of three-dimensional (3-D) objects by means of phase-only digital holographic information using Deep learning.- Enhancing Facial Expression Classification through CNN-SVM Fusion.- Spraybotic– A Step to Save Plants.- Muscle Activity Monitoring for Disease Analysis and Development of Prosthetic Device.- etc.