shift_match

A p*n data matrix of background-removed spectra in the first experiment.

A p*n data matrix of background-removed spectra in the second experiment.

A vector of time indices of signals in the first experiment.

A vector of time indices of signals in the second experiment.

Match signals from two experiments.
For each signal in the first experiment, <code>shift.match</code> function finds the best matched signal in the second experiment. This function takes the potential frequency shifts into consideration for similarity measurement.

Implements a new approach 'SABARSI' described in Wang et al., "A Statistical Approach of Background Removal and Spectrum Identification for SERS Data" (Unpublished).
Sabarsi forms a pipeline for SERS (surface-enhanced Raman scattering) data analysis including background removal, signal detection, signal integration, and cross-experiment comparison. The background removal algorithm, the very first step of SERS data analysis, takes into account the change of background shape.

Jun Li

sabarsi

Background Removal and Spectrum Identification for SERS Data

Li Jun

Wang Chuanqi

shift_match function

Match signals from two experiments.
For each signal in the first experiment, <code>shift.match</code> function finds the best matched signal in the second experiment. This function takes the potential frequency shifts into consideration for similarity measurement. — shift_match

Match signals from two experiments.
For each signal in the first experiment, <code>shift.match</code> function finds the best matched signal in the second experiment. This function takes the potential frequency shifts into consideration for similarity measurement.

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.

Description

Usage

Arguments

Value