Non-linear transformation

Non-linear transformation refers to changing data or signals using a process that doesn't follow a straight line or proportional pattern. Unlike linear transformations, where outputs change consistently with inputs, non-linear transformations can amplify, reduce, or otherwise alter data in complex ways. This technique is common in fields like image processing, machine learning, and signal analysis, where it helps enhance features, normalize data, or model intricate relationships. Essentially, non-linear transformations allow us to manipulate data to better understand, analyze, or use it beyond simple linear methods.