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Too bad DSP is dead. No one is going to study it, compressive sensing has underdelivered and now talented EE undergrads are going into Machine Learning.
by zump 10y ago
Too bad DSP is dead. No one is going to study it, compressive sensing has underdelivered and now talented EE undergrads are going into Machine Learning.
- sizzzzlerz 10y ago"DSP is dead" he says while publishing his comment from his computer with a 4 Tbyte hard drive over a WiFi connected to his ISP via 40 Gbps optical fiber network and then using his 5G smart phone to call up a friend to brag about how smart he is. Yeah, it's dead, alright.
- zump 10y agoIt's nothing new, just big industry players eeking out more performance.
- stevehiehn 10y agoI am sincerly confused buy this comment. Are you implying DSP & machine learning are not complementary? Don't you need and understanding of DSP in order to extract features that can be used to perform machine learning?
- zump 10y agoNot with a neural network...
- stevehiehn 10y agoMy passion/hobby project is to assembly music procedurally with NN. I really cant see a NN being able to extract much meaningfully without billions of perfectly annotated training sets (i dont think they exisit) The only success i've experienced is to first extract features from the amplitues via FFT. From there i can get information like pitches and feed those features into a NN. If i had a large enough training set i would certainly try feeding in raw amplitudes but i have my doubts.
- chillingeffect 10y agoHave you studied chord extraction? I'm hoping modern NNS can help improve this problem.
- stevehiehn 10y agoWell i think about it alot but i havent accomplished much with that. But i really like what you are implying though. If you have all the notes played at a point in time that doesnt mean for know for sure which chord should be played. But a NN could be told the context around it and make a chord classification.
- zeroxfe 10y agoYes, they are independent and complementary. GP has no idea what they're talking about. (I use both DSP and ML heavily for my audio analysis projects.)
- clappski 10y agoThis comment makes no sense, DSP is a core discipline in both hardware and software.
- deleted 10y ago[deleted]
- GFK_of_xmaspast 10y agoDSP's always going to be needed when dealing with data coming from the real world.