SERS                    A real SERS spectrum data set in
background_removal      Perform background removal on the whole SERS
                        spectrum data set. Divide the SERS spectrum
                        data into time-frequency blocks and remove
                        background locally.
detect_sig              Calculate the pvalues and false discovery rates
                        (FDRs) for a background-removed spectrum
merge_signals           Obtain the set of signature signals Merge
                        groups of concatenated signals and give the
                        time indices of signature signals.
shift_match             Match signals from two experiments. For each
                        signal in the first experiment, 'shift.match'
                        function finds the best matched signal in the
                        second experiment. This function takes the
                        potential frequency shifts into consideration
                        for similarity measurement.
signal_detection        Detect signals in background-removed spectra
