What an absolutely fantastic explanation video with just the right amount of depth but also clarifying some basics aspects. Why cant professors teach like this..
This is the first time I read such an excellent explanation. It instantly made me understand the weighting and working principle of Digital Filter. Thank you so much.
I really needed this explanation! I am taking an image analysis course and the Instructor talked about the application of low pass filter for smoothing an image but I could not grasp the underlying idea. Thanks to you for this awesome video!
I used similar functions for my application but didn't know there is some mathematical approach for this called "High pass and Low pass filters"..... Thank you so much for explaining.
Good, very good. The 1D filters, otherwise known as moving average, is routinely used in denoising the environmental data such as rainfall, temp,... The 2D extension, these filters are widely used in raster analysis & remote sensing of environment, crops,forestry, and so on. I would appreciate more of this. Thank you.
Wow you are an absolutely Amazing teacher i have SEVERE A.D.D and find it very difficult to give anyone or anything my full and undivided attention especially when trying to pay attention to someone giving a lesson on something. even on a subject im really interested in my brain usually trails off n i have never been able to figure out why my brain does it or how i can stop it from doing so and thanks to you i believe I have possibly figured out one of the causes for it I noticed that you had my full attention until you used a word that i know but never really knew its meaning and just as my mind started trailing off to ponder the words meaning and usage you explained the words meaning and usage n pulled my attention back to the subject at hand which your explanation was Amazing by the way i started watching this video to better understand high and lowpass filtering in music production you just made me look at it from a totally different perspective and its application to sound design in a completely different way thank you for that
Teaching is not just science and knowledge but art and you are a real artist. Can I use some of your explanation in my dissertation and reference your youtube videos or any other reference you prefer please? thanks.
Great video, thanks a lot! I am wondering: How would I provide the cutoff frequency (when applying this filter to some audio signal) to a filter implemented that way?
They don't call it a kernel in signal processing, they call it a window function. Statistics calls them "kernels". Interestingly, the use of window functions predates eg. Holt-Winters Triple Exponential Smoothing by over a hundred years and statisticians failed to give credit appropriately.
Nope. In DSP the Kernel is the array you convolve by. A window is different from a kernel, when you window a signal you are multiplying it point-by-point with a shaping function. Kernels are about neighborhood of operation. There is a slight difference.
@@MIkeGazzarusoFunny, Prabhu uses window function in his book on filtering. I stand corrected, thanks! So kernel = when convolved, window function = multiplied but not summed.
Thank you very much for your explanaition. There is one question that came to my mind though when applying a LP on a time series, it woud be like taking a moving average. But where is the lag? If the time series were values I get from a sensor, using a LP, would give me the filtered values, but lagging by half the length of the width of my array. Or am I missing something here?
Dude thank you so much. My teacher gave us these horrible RU-vid videos to watch. Also is it just me or do most circuits videos and books suck? I find great chemistry and calculus videos and stuff like thermo and mechanical stuff, but I feel like there is a lack of good electrical information out there. Also I struggle with circuits more than anything else so maybe that's why I feel that way.
In the video, on the time series graph the high freq is shown in the middle, in signal processing the Low pass content of the signal is typically around zero and high freq is away from the zero? the high freq content here seems more like a "Bandpass signal"
