2 Years Impact Factor:
2.85
5 Years Impact Factor: 1.53
Author: Thodupunoori Nithin, Velpula Srikanth , Thokala Sai Prakash Reddy , Mr. Venkanna Mood
Abstract:
The global market for wireless local area networks (WLANs) is expected to reach approximately $60 billion by 2025, driven by the increasing demand for high-speed internet connectivity and data- intensive applications. As WLAN technology evolves, the need for efficient signal processing methods becomes paramount, with the DWT commonly used for data compression and noise reduction. However, existing DWT implementations face significant challenges, including high computational complexity and limited scalability, which can hinder performance in real-time applications. This paper proposes a DWPT method specifically designed for VLSI implementation in WLANs. By enhancing the traditional DWT framework, the proposed DWPT method optimizes the signal processing chain, achieving better frequency resolution and improved energy compaction. This novel approach integrates a pipelined architecture that significantly reduces processing time and power consumption, making it ideal for resource-cons
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