分析 Resources

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MATLAB-based source code for weak signal extraction, detection, and analysis. The implementation first computes key statistical parameters including mean, mean square value, variance, frequency spectrum, and power spectral density of input signals to identify useful signal components. Subsequently, it extracts target signals and calculates their statistical properties (mean, mean square value, variance, probability density) along with spectral characteristics (frequency spectrum and power spectral density), accompanied by visualization of corresponding curves using MATLAB's plotting functions.

MATLAB 272 views Tagged

FFT spectral analysis enables extraction of EEG signals from different frequency bands. These extracted signals can be used for diagnosing brain disorders and analyzing electrical activity patterns in brain tissue and functional states. The workflow includes: 1. Converting experimental EEG data files to text format (after 50Hz notch filtering) to obtain Matlab-compatible data (0661.txt). 2. Importing data into Matlab, extracting Fp1 channel signals, applying FFT to isolate α, β, θ, and δ bands, then performing inverse FFT for time-domain reconstruction. 3. Calculating power spectra for each frequency band.

MATLAB 275 views Tagged