Windowing

Windowing is a technique used in signal processing to analyze signals in smaller, manageable segments rather than the entire signal at once. By dividing the data into overlapping or non-overlapping sections called "windows," it becomes easier to detect patterns, features, or changes within each part. This approach helps improve the accuracy of analysis, especially in tasks like audio processing or communications, by minimizing issues like spectral leakage. Think of it as focusing on small, overlapping snapshots of the data to better understand the overall signal behavior.