## Abstract We describe the Dynamic Distributable Decorrelation Algorithm (DDDA) which efficiently calculates the true statistical error of an expectation value obtained from serially correlated data βonβtheβfly,β as the calculation progresses. DDDA is an improvement on the FlyvbjergβPetersen renor
An efficient algorithm for waveform analysis using the correlation coefficient
β Scribed by Steve M. Collins; Robert C. Arzbaecher
- Publisher
- Elsevier Science
- Year
- 1981
- Tongue
- English
- Weight
- 489 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0010-4809
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β¦ Synopsis
The correlation coefficient is very useful in the analysis of biomedical signals. It has been utilized both for template matching and the time alignment of waveforms. For on-line applications, which require repeated calculation of a correlation coefficient, the computational burden of the correlation technique has severely restricted its use. This paper presents an algorithm for efficient calculation of the correlation coefficient, particularly when using correlation for waveform time alignment or with multiple templates.
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