What is the advantage of overlapping windows while evaluating Spectrogram?

Overlap is needed to make sure all samples are weighed equally (at least roughly). Any window weighs the samples in the middle higher than the one at the edges. Hence a sample at the edge must be weighted higher in the next (or previous) window. This is can be conveniently done by overlapping the windows.

1. What is an overlapping window?
2. Why do we use overlap in FFT?
3. What is overlapping in signal processing?
4. What is the difference between overlapping and non overlapping moving windows?
5. What happens to the spectrogram plots as you change the window length Why does this happen?

What is an overlapping window?

Overlapped Windows

An overlapped window is a top-level window (non-child window) that has a title bar, border, and client area; it is meant to serve as an application's main window.

Why do we use overlap in FFT?

FFT processing can be particularly problematic when the signal consists of randomly occurring transients superimposed on a more continuous signal. Overlap processing is commonly used in this situation to improve the estimates.

What is overlapping in signal processing?

Overlapping of signals happens when signals from two or more than two origins are broadcast at an equal frequency.

What is the difference between overlapping and non overlapping moving windows?

In this approach, the sensor signals are split into windows of fixed size. If there is overlap between adjacent windows, this technique is known as overlapping sliding window, and if not, it is called the non-overlapping windows technique.

What happens to the spectrogram plots as you change the window length Why does this happen?

As you increase the window length you are smoothing the spectrogram on the time axis, this is why, even with a small overlap you can't perceive quick variations of the spectrum.