Discrete Wavelet Transform (DWT)

The Discrete Wavelet Transform (DWT) is a signal processing technique that breaks down complex data into simpler, smaller pieces called wavelets. Imagine it like analyzing a musical piece by separating it into different pitches and rhythms; DWT does this with data, revealing details at various scales. It captures both the overall trend and fine details, making it useful for tasks like image compression, noise reduction, and feature extraction. Essentially, DWT transforms data into a form that highlights important features at multiple levels, allowing for efficient analysis and processing.