3 Challenges in Signal Processing (ft. Paolo Prandoni)

This video presents 3 challenges faced by signal processing researchers. It features Paolo Prandoni, senior researcher of the IC School at EPFL.

[RAJIBLOCHANDAS]

Excellent. I wish signal processing community will explore the physics of deep learning.

[loveforallbxlmannif]

“Digital signal processing is a veritable ocean. Take as many soundings in it as you will, you will never know its depth.”
[Paraphrased from “Le Pére Goriot” by Honoré de Balzac, 1835]
(i copied this one from dsprelated forum, a message of Rick Lyons

[Fruitysfaction]

who is the guy interrupting all the time?

[MusicEngineeer]

I'm a bit confused. When I place - say - 10 microphones into a room and let them record an audio signal, I don't get a 10-dimensional signal. I get 10 separate 1-dimensional signals, which is a very different thing - as different as an image is from a stereo audio signal - the image is truly 2D whereas stereo audio is 2-channel 1D. Number of channels and signal dimensionality seem to be conflated here, unless I'm missing something. Likewise, 10 cameras in a room would capture 10 separate 2D signals, i.e. 10 channels of a 2D signal (which could themselves actually be 3-channel data for RGB). ...or maybe 3D, if they capture video and time is taken as 3rd coordinate

[BmCC]

Deep convolutional networks is mind blowing stuff.

[bahadr]

Signal processing is not a standalone job title except some very intense engineering fields which are very rare. At the end of the day, you have to earn money. If there is a simple way to do it, it will always win.
But it is a must to learn intermediate-level signal processing but never lay on it alone.

[zrmsraggot]

Sparsity, dimensionality reduction and Interprtability