/// <summary>
/// perform inverse wavelet transorm
/// </summary>
/// <param name="wavelet_data">tuple returned by perform_wavelet_transform</param>
/// <param name="original_data_len">size of original data before direct wavelet transform</param>
/// <param name="wavelet">db1..db15,haar,sym2..sym10,coif1..coif5,bior1.1,bior1.3,bior1.5,bior2.2,bior2.4,bior2.6,bior2.8,bior3.1,bior3.3,bior3.5 ,bior3.7,bior3.9,bior4.4,bior5.5,bior6.8</param>
/// <param name="decomposition_level">level of decomposition</param>
/// <returns>restored data</returns>
public static double[] perform_inverse_wavelet_transform(Tuple <double[], int[]> wavelet_data, int original_data_len, string wavelet, int decomposition_level)
{
double[] original_data = new double[original_data_len];
int res = DataHandlerLibrary.perform_inverse_wavelet_transform(wavelet_data.Item1, original_data_len, wavelet, decomposition_level,
wavelet_data.Item2, original_data);
if (res != (int)CustomExitCodes.STATUS_OK)
{
throw new BrainFlowException(res);
}
return(original_data);
}
