Signal processing methods that are reliable and efficient are essential in the field of wireless communication. Current Wireless Local Area Network (WLAN) communication systems are based on traditional signal processing methods, which are frequently unreliable and unstable in different channel environments. The demands of contemporary WLAN applications may be too much for these systems to handle, particularly in situations where high data rates and resilience against channel defects are necessary. The current solutions suffer from high computational overhead, poor performance in dynamic channel conditions, and restricted flexibility to handle a wide range of signal properties. This paper presents a new method for performing the Discrete Wavelet Packet Transform (DWPT) that makes use of Very Large-Scale Integration (VLSI). Through the use of VLSI technology, the suggested approach seeks to address the inherent difficulties in WLAN communication. The system gains improved signal processing capabilities, which are essential for WLAN systems, by utilizing DWPT. It makes WLAN signal processing more effective, which leads to better performance in situations with dynamic channel conditions. Because of its small hardware footprint and low power consumption, the VLSI implementation makes it appropriate for incorporation into small-form-factor WLAN devices. Additionally, DWPT's versatility makes it possible to handle a variety of signal characteristics effectively, which improves WLAN communication systems' overall robustness and reliability.

Very Large-Scale Integration,Discrete Wavelet Packet Transform,Wireless Local Area Network,Communication