Radio Frequency (RF) interference is a constant battle in today's congested spectrum. This
unwanted noise disrupts communication systems corrupting data and hindering operations. Here
the Discrete Wavelet Transform (DWT) emerges as a game changer in mitigating this
interference.DWT acts like a magnifying glass for signals. Unlike traditional frequency
analysis DWT decomposes the signal into components at various scales allowing for precise
targeting of noise. Imagine dissecting a song to isolate specific instruments - DWT separates
the desired signal from the interfering noise much like isolating the melody from background
instruments.This targeted approach offers significant advantages. DWT can distinguish between
different types of interference making it adaptable to diverse noise scenarios. Additionally
DWT's ability to analyze signals at multiple scales helps extract subtle details often masked
by noise in conventional methods.DWT's impact extends beyond communication systems. It enhances
medical images by removing noise introduced during transmission leading to clearer diagnoses.
By enabling cleaner data reception in noisy environments DWT paves the way for reliable
wireless communication.As the RF spectrum continues to fill DWT stands as a powerful tool in
ensuring clear and robust communication across various fields
