We introduce non-negative matrix factorization with orthogonality constraints (NMFOC) for detection of a target spectrum in a given set of Raman spectra data. An orthogonality measure is defined and two different orthogonality constraints are imposed on the standard NMF to incorporate prior information into the estimation and hence to facilitate the subsequent detection procedure. Both multiplicative and gradient type update rules have been developed. Experimental results are presented to compare NMFOC with the basic NMF in detection, and to demonstrate its effectiveness in the chemical agent detection problem.
|Number of pages||15|
|Journal||Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology|
|Publication status||Published - Aug 2007|
- Non-negative matrix factorization
- Raman spectroscopy