Examples
Examples
Try the starting example
- Window sample count
- 32
- Window: 0 rectangular, 1 periodic Hann, 2 periodic Hamming
- 1
- Coherent gain
- 0.5
- Equivalent noise bandwidth (bins)
- 1.5
- Window coefficients
- [0,0.00960735979838,0.0380602337444,0.0842651938487,0.146446609407,0.22221488349,0.308658283817,0.402454838992,0.5,0.597545161008,0.691341716183,0.77778511651,0.853553390593,0.915734806151,0.961939766256,0.990392640202,1,0.990392640202,0.961939766256,0.915734806151,0.853553390593,0.77778511651,0.691341716183,0.597545161008,0.5,0.402454838992,0.308658283817,0.22221488349,0.146446609407,0.0842651938487,0.0380602337444,0.00960735979838]
Try another scenario
- Window sample count
- 33
- Window: 0 rectangular, 1 periodic Hann, 2 periodic Hamming
- 1
- Coherent gain
- 0.5
- Equivalent noise bandwidth (bins)
- 1.5
- Window coefficients
- [0,0.00903565136865,0.035816033492,0.0793732335844,0.138132980947,0.209971545214,0.292292493499,0.382120532245,0.476209042088,0.571157419137,0.663533981659,0.75,0.827430366973,0.893026547371,0.944417724327,0.979746486807,0.997735961287,0.997735961287,0.979746486807,0.944417724327,0.893026547371,0.827430366973,0.75,0.663533981659,0.571157419137,0.476209042088,0.382120532245,0.292292493499,0.209971545214,0.138132980947,0.0793732335844,0.035816033492,0.00903565136865]
Calculation method
Calculation method
Coherent gain
Mean of window coefficients.
Equivalent noise bandwidth (bins)
N × sum(window²)/sum(window)².
Window coefficients
Periodic sampled window, endpoint N excluded.
Symbols and units
- a
- Window sample count
- b
- Window: 0 rectangular, 1 periodic Hann, 2 periodic Hamming
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Calculation steps and notation
sum(list) adds all entries in the list.
Assumptions & limits
Assumptions & limits
- Window type-length. Returns Coherent gain and noise bandwidth. 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. Window sample count: minimum 3, maximum 256. Window: 0 rectangular, 1 periodic Hann, 2 periodic Hamming: 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.