Automatic Autocorrelation and Spectral Analysis (2006)
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- Synopsis
- Spectral analysis requires subjective decisions which influence the final estimate and mean that different analysts can obtain different results from the same stationary stochastic observations. Statistical signal processing can overcome this difficulty, producing a unique solution for any set of observations but that is only acceptable if it is close to the best attainable accuracy for most types of stationary data. This book describes a method which fulfils the above near-optimal-solution criterion, taking advantage of greater computing power and robust algorithms to produce enough candidate models to be sure of providing a suitable candidate for given data.
- Copyright:
- 2006
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781846283291
- Related ISBNs:
- 9781846283284
- Publisher:
- Springer London
- Date of Addition:
- 07/28/22
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Art and Architecture, Computers and Internet, Technology, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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- by Petrus M.T. Broersen
- in Nonfiction
- in Art and Architecture
- in Computers and Internet
- in Technology
- in Mathematics and Statistics