Automating vibrational spectroscopy data preprocessing and multivariate analysis with MATLAB(R) / by Tanmoy Bhattacharjee
- Author:
- Bhattacharjee, Tanmoy
- Published:
- Bellingham, Washington (1000 20th St. Bellingham WA 98225-6705 USA) : SPIE, 2019.
- Physical Description:
- 1 online resource (vi, 93 pages).
- Additional Creators:
- Society of Photo-Optical Instrumentation Engineers
Access Online
- Series:
- Restrictions on Access:
- Restricted to subscribers or individual electronic text purchasers.
- Contents:
- Preface -- 1. Background -- 2. Overview -- 3. MATLAB desktop -- 4. Note on array indexing and the "loop" function: 4.1. Array indexing; 4.2. "Loop" function -- 5. Basic preprocessing operations: 5.1. Importing a spectrum; 5.2. Separate wavenumbers from intensity; 5.3. Perform the first derivation; 5.4. Select a specific spectral range; 5.5. Area normalization -- 6. Automating preprocessing for multiple spectral files -- 7. Automating preprocessing for multiple files contained in multiple subfolders -- 8. Performing multivariate analysis: 8.1. Principal component analysis; 8.2. Principal component¿́¿linear discriminant analysis; 8.3. Support vector machine -- 9. PCA plotting -- 10. Turning features on and off -- 11. Note on MATLAB functions -- 12. Final note on how to best use the script -- 13. Common errors -- 14. Automating mean and standard deviations calculations: an example -- References.
- Summary:
- This Spotlight teaches the commands necessary to analyze spectroscopic data (Raman/FTIR) using MATLAB. It explains how to build an analysis routine step by step and perform pre-processing and multivariate analysis with a single click. The script for support vector machines (SVMs) is also briefly addressed so that readers can build a script tailored to their own laboratory routine.
- Subject(s):
- Genre(s):
- ISBN:
- 9781510631250 pdf
9781510631267 ePub
9781510631274 mobi - Note:
- "SPIE Digital Library."--Website.
- Bibliography Note:
- Includes bibliographical references.
- Technical Details:
- Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
View MARC record | catkey: 28326729