%0 Journal Article %1 noauthororeditor %A Mortada, Bidaa %D 2015 %J Circuits and Systems:An International Journal (CSIJ) %K Background attacks cognitive correction %N 1 %P 1-12 %T TREND REMOVAL FROM RAMAN SPECTRA WITH LOCAL VARIANCE ESTIMATION AND CUBIC SPLINE INTERPOLATION %U http://airccse.com/csij/papers/2115csij01.pdf %V 2 %X Trend removal is an important problem in most communication systems. Here, we show a proposed algorithm for trend (background) removal from Raman Spectra by merging local variance estimation and cubic spline interpolation methods. We found that Raman spectrum does not need a smoothing process to remove trend from noisy signals. Employing this technique results in more speedy and noiseless systems than other techniques that use wavelet transformation to suppress noise.

@article{noauthororeditor, abstract = {Trend removal is an important problem in most communication systems. Here, we show a proposed algorithm for trend (background) removal from Raman Spectra by merging local variance estimation and cubic spline interpolation methods. We found that Raman spectrum does not need a smoothing process to remove trend from noisy signals. Employing this technique results in more speedy and noiseless systems than other techniques that use wavelet transformation to suppress noise.}, added-at = {2018-05-05T06:38:58.000+0200}, author = {Mortada, Bidaa}, biburl = {https://www.bibsonomy.org/bibtex/2bfd9d3cb8e80954735b6e4b4a1398c64/csijjournal1821}, interhash = {33220aacc0b2099cbdf545035a9bed96}, intrahash = {bfd9d3cb8e80954735b6e4b4a1398c64}, issn = {2349 - 2171}, journal = {Circuits and Systems:An International Journal (CSIJ)}, keywords = {Background attacks cognitive correction}, month = {January}, number = 1, pages = {1-12}, timestamp = {2018-05-05T06:38:58.000+0200}, title = {TREND REMOVAL FROM RAMAN SPECTRA WITH LOCAL VARIANCE ESTIMATION AND CUBIC SPLINE INTERPOLATION}, url = {http://airccse.com/csij/papers/2115csij01.pdf}, volume = 2, year = 2015 }