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Results tagged with deep-learning
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user 50076
1
vote
Is it possible to classify signal samples using STFT without (image-based) spectrograms?
STFT is inherently a 2D representation. Anything else depends on what we mean by "avoid 2D":
Transform further to collapse an axis (e.g. MFCC). Then it's pertinent to know what we're giving up for wh …
- 9,262
0
votes
Accepted
References of deep learning and ai for dsp researchers
For understanding conv nets, I recommend works on scattering theory which provide the best explanation of their success I know of, with interpretability and mathematical rigor:
Lecture
Paper
A precu …
- 9,262
0
votes
Explain the Process of Spectral Pooling and Spectral Activation in the Context of CNN in Fre...
Update: after a closer look, activation follows pooling, not precedes; this is much more explicit in the original paper. Furthermore, the cited paper uses linear approximations of nonlinearities (but …
- 9,262
1
vote
Accepted
Classification of very noisy EMG signals
-30 dB is still very noisy.
If you've had success with EMD, I'd try an inspired transform that's improved on it: synchrosqueezing. Whether it's best to denoise before classifying depends on amount of …
- 9,262
1
vote
How to train a FCNN with Spectrogram images?
Spectrograms will work with any network that can operate on images. A spectrogram, however, is not an image, and many image techniques will be inapplicable:
Data augmentation via rotation: a rotated …
- 9,262
3
votes
Role of window length and overlap in uncertainty principle?
Overlap is and isn't related to time resolution: in sense of the uncertainty principle, only the window width plays a role.
However, any overlap other than maximum (hop_size = len(window) - 1) will al …
- 9,262