What is windowing method?

The windowing method is a technique used in signal processing and data analysis to segment a larger dataset into smaller, manageable parts or "Windows." This approach helps to analyze local characteristics of a signal or dataset by applying a mathematical function, or window function, to each segment. It is commonly used in applications like Fourier analysis, where each window can be transformed independently to study frequency components over time. By overlapping Windows, one can capture more information and reduce artifacts that may arise from boundary effects.