Publisher's Synopsis
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
