Windowing explained

Рет қаралды 5,678

Жыл бұрын

Windowing is the process of taking a small subset of a larger dataset, for processing and analysis. Windowing is accomplished using a window function or a tapering function. The main purpose of a window is to reduce the sharp discontinuities that occur when trying to append non-periodically measured signals. Learn more about windowing in detail in this video.
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Пікірлер: 9

@janavanrooyen3798 Күн бұрын

Great video!

@a.g.j.potman4367 4 ай бұрын

Jeez this just made my day. It was so easy to easy to understand this way. You just want a periodic signal. That is the whole goal, with windowing that FTT and bam you have your awnser :0

@olashoretijesunimi6039 Ай бұрын

Thank you so much for this video. Sincerely, your videos make signal processing so simple and interesting. Thank you Brother.

@Zachzac-Zak 5 ай бұрын

fantastic video, better explanation provided than my prof. did. Bro is professional

@soumikshanto8487 3 ай бұрын

thank you

@spirit_nightingale9793 4 ай бұрын

Hello, I really like your video very much and the explanation helped a lot. However, when you showed the window at around 6:42, the window function seemed to be misplaced on the axis. I wonder if I am seeing it right :)

@SrinathSrinivasan 4 ай бұрын

Thank you. The horizontal axis for window function should rather be lower, please ignore it.

@uddipansarkar90 Жыл бұрын

Hi there, great video. I was curious to know , with a synchronous measurement technique, where the no. of samples captured is dependent on the shaft revolution, would there still be chances of spectral leakage?? Rather can a synchronous measurement be termed as a periodic measurement???

@SrinathSrinivasan Жыл бұрын

If the captured time signal when appended to be infinitely long, doesn't have discontinuities, then there is no need for windowing as signal is already periodic. In reality, this is rarely the case. Windowing is thus a default step in signal processing before performing FFT. By definition, a periodic motion is one that repeats itself in equal intervals of time. If any motion exhibits this phenomenon, then it can be considered periodic.