Examples
Examples
Try the starting example
- Samples
- 1,2,3,2,1
- Maximum lag
- 3
- Normalization: 0 raw; 1 biased; 2 unbiased
- 1
- Autocorrelation by lag
- [3.8,3.2,2,0.8]
Try another scenario
- Samples
- [2, 1, 0, 1, 2]
- Maximum lag
- 3
- Normalization: 0 raw; 1 biased; 2 unbiased
- 1
- Autocorrelation by lag
- [2,0.8,0.2,0.8]
Calculation method
Calculation method
Autocorrelation by lag
Sum x[n]x[n+lag], divided by 1, N, or N−lag. Mean is not removed.
Symbols and units
- a
- Samples
- b
- Maximum lag
- c
- Normalization: 0 raw; 1 biased; 2 unbiased
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Samples, normalization, lag limit. Returns Autocorrelation sequence. All coefficients and observations are user supplied; results describe only the stated mathematical model. Quantities are deterministic calculations from supplied observations and assumptions; no external data is fetched. Supported limits: Finite inputs only; numeric fields bounded as labelled. Lists and JSON records are limited to 256 entries unless a stricter tool bound is stated. No automatic design approval, legal conclusion, treatment recommendation or safety certification. Samples: minimum None, maximum 1000000000000.0. Maximum lag: minimum 0, maximum 255. Normalization: 0 raw; 1 biased; 2 unbiased: minimum 0, maximum 2.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.
Further reading
Background reading; this does not imply endorsement or independent review of SumFizz.