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0 votes
0 answers
41 views

Fiber Photometry (Fluorescence) Signal Preprocessing through Source Separation and Baseline Correction

I am working on preprocessing fiber photometry data. The data collection involves inserting fibers into an animal, where the reflection of specific wavelengths of light is captured. We collect two ...
Fazla Rabbi Mashrur's user avatar
1 vote
1 answer
387 views

Check whether signal is periodic

I have a signal with multiple frequencies. The frequency changes depending on the amount of air flowing through the fuel snap. The signal resembles a square wave ranging from $0.4$ to $4.5$ Volts and ...
Asli's user avatar
  • 13
0 votes
0 answers
75 views

Peak Sharping of multi-signal data

I have multi-signal data and as a processing step want to apply peak sharping of signal as shown in fig below. is there any way I can achieve this in python ? Literature :Paper 1(Peak sharping section ...
alex3465's user avatar
  • 101
0 votes
2 answers
52 views

Digital Signal Quantized Processor Complexity

In “traditional” digital signal processing, the complexity is computed as a number of multiplication the operation requires, e.g. the computation of the N-point DFT via the decimation-in-frequency FFT ...
Dieguli's user avatar
-1 votes
1 answer
318 views

How to apply baseline methods to MNE preprocessed raw EEG signals?

I am new at EEG preprocessing and classification. I have followed Clemens Brunner's blog https://cbrnr.github.io/2018/01/29/removing-eog-ica/ as a tutorial for MNE. This is how I have preprocessed ...
Vedang Mandhana's user avatar
1 vote
0 answers
163 views

Calculating gyroscope data from accelerometer and attitude data

I am currently collecting accelerometer and attitude data using smartphone sensors. Data is collected at 100Hz over 2.5 seconds. Of which there are 250 accelerometer points and 250 points representing ...
lfs's user avatar
  • 11
0 votes
0 answers
511 views

The essential pre-processing steps in speech signal analysis

My question is that for simulating a new scheme for speech emotion recognition (feature extraction and classification), what are the necessary pre-processing steps (I mean any kind of normalization ...
Amin's user avatar
  • 201
2 votes
2 answers
4k views

Preprocessing audio signal for neural network classification

I need to identify certain features of the audio signal recorded from microphone in stethoscope. These sounds are only samples i've found, but the final signal will be probably a bit noisier (maybe ...
Ivan0x32's user avatar
  • 123
1 vote
0 answers
43 views

select meaningful part out of a signal (for goertzel)

I have an on going input signal, most of the time with no activity. Once in a while there is an activity (oscillations in different freq). I need to take good 205 samples out of the signal. what i ...
Yehuda's user avatar
  • 11
0 votes
2 answers
3k views

Effect of different downsampling rate on EEG signal

I have a raw EEG signal of length 2,50,000 samples. I band passed it from 0.05-10Hz (sampling frequency=500). Then I down sampled it at 20Hz. Now question is: What will be effect if I vary down ...
Muhammad Akmal's user avatar