The Wavelet Transform and Its Applications

The Wavelet Transform is a mathematical tool used to analyze signals or data by breaking them down into smaller, simpler pieces called wavelets. Unlike traditional methods, it captures both the overall trends and detailed features at different scales and times. This makes it useful for applications like image and audio compression, noise reduction, and detecting patterns or anomalies. Essentially, it helps us understand complex information more clearly by examining it at multiple levels, enabling more efficient processing and insightful analysis across various fields.