SAMPLING BASIS SELECTION FOR WAVELETS IN PARALLEL BIOMEDICAL DATA PROCESSING SYSTEM
We consider the method of electroencephalography data processing and suggest a technique for computing the matrix of wavelet coefficients, with the proper accounting for the boundary conditions of each type of wavelet. Optimization methods aimed to eliminate the resulting time lags are shown and demonstrated.