Howtosignalprocessing
- What is downsampling of EEG data?
- How do you downsample a signal?
- What is meant by down sampling?
- What is sampling in EEG?
What is downsampling of EEG data?
Downsampling according to research goals
EEGLAB offers the possibility to downsample EEG datasets. In general, the selection of a sampling rate should be driven by research goals. If the goal of your research is to characterize ERP components, then a sampling rate of 250 Hz could be more than adequate.
How do you downsample a signal?
y = downsample( x , n ) decreases the sample rate of x by keeping the first sample and then every n th sample after the first. If x is a matrix, the function treats each column as a separate sequence. y = downsample( x , n , phase ) specifies the number of samples by which to offset the downsampled sequence.
What is meant by down sampling?
Downsampling (in this context) means training on a disproportionately low subset of the majority class examples. Upweighting means adding an example weight to the downsampled class equal to the factor by which you downsampled.
What is sampling in EEG?
The rate at which the waveform data is sampled in order to convert it into a numerical format is known as the sampling rate. The sampling rate is usually expressed in Hz, for example 240 Hz is 240 times per second.
