Examples
Examples
Try the starting example
- Command samples
- 0,0.1,0.4,0.9,0.3,-0.2
- Deadband half width
- 0.15
- Quantization step
- 0.1
- Output trace
- [0,0,0.3,0.8,0.1,-0.1]
- Error trace
- [0,-0.1,-0.1,-0.1,-0.2,0.1]
- Root mean square error
- 0.11547
Try another scenario
- Command samples
- [0, 0.3, 0.8, -0.8]
- Deadband half width
- 0.15
- Quantization step
- 0.1
- Output trace
- [0,0.1,0.7,-0.7]
- Error trace
- [0,-0.2,-0.1,0.1]
- Root mean square error
- 0.122474
Calculation method
Calculation method
Output trace
Zero output inside deadband; outside subtract the deadband then round half away from zero.
Error trace
Quantized output minus each input.
Root mean square error
Square root of mean squared errors.
Symbols and units
- a
- Command samples
- b
- Deadband half width
- c
- Quantization step
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
- Memoryless symmetric dead-zone followed by uniform quantization. Does not model hysteresis or a mechanical actuator. 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. Command samples: minimum None, maximum 1000000000000.0. Deadband half width: minimum 0, maximum 1000000000000.0. Quantization step: minimum 1e-12, maximum 1000000000000.0.
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.