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By: Bhavisha Vishalbhai Parvadiya.
Assistant Professor, Sardar Patel College of Administration and Management, SPEC Campus, Bakrol-388315 404/Aryan Apartment, Near Noble School, Gujarat, India
Modern communication networks require high-speed, reliable, and energy-efficient signal transmission for applications such as wireless communication, satellite systems, Internet of Things (IoT), smart healthcare, and next-generation 5G/6G networks. Traditional signal processing techniques often face limitations in dynamic communication environments due to interference, noise, latency, and bandwidth constraints. Hybrid signal processing methods combine multiple techniques including analog-digital processing, adaptive filtering, beamforming, machine learning, and intelligent optimization to enhance communication performance and reliability. Real-time decision-making, adaptive resource allocation, and enhanced network scalability in complex communication environments are all made possible by these hybrid approaches. This research paper presents a detailed performance analysis of hybrid signal processing methods in modern communication networks. The study discusses the fundamentals of hybrid signal processing, communication challenges, major hybrid techniques, performance evaluation parameters, applications, advantages, limitations, and future developments. Important performance metrics such as Signal-to-Noise Ratio (SNR), Bit Error Rate (BER), spectral efficiency, bandwidth utilization, and energy efficiency are analyzed to evaluate communication performance. The analysis demonstrates that hybrid signal processing methods significantly improve communication quality, reduce interference, enhance network reliability, and optimize resource utilization compared to conventional signal processing approaches. Hybrid methods also support intelligent communication management in wireless communication systems, IoT infrastructures, satellite communication, multimedia systems, and emerging 5G/6G networks.
Keyword – Hybrid Signal Processing, Communication Networks, Wireless Communication, Adaptive Filtering, Machine Learning, Beamforming, 5G, 6G, IoT.
Citation:
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