Tenney–Euclidean temperament measures: Difference between revisions
→TE complexity: explanation via Mike Battaglia (archive #20598) |
No edit summary Tags: Mobile edit Mobile web edit |
||
| Line 88: | Line 88: | ||
: '''Note''': that is the definition used by Graham Breed's temperament finder. | : '''Note''': that is the definition used by Graham Breed's temperament finder. | ||
Gene Ward Smith defines the TE error as the ratio ‖''M''<sub>''W''</sub> ∧ ''J''<sub>''W''</sub>‖/‖''M''<sub>''W''</sub>‖, derived from the relationship of TE simple badness and TE complexity. See the next section. We denote this definition of TE error ''Ψ''. From {{nowrap|‖''M''<sub>''W''</sub> ∧ ''J''<sub>''W''</sub>‖/‖''M''<sub>''W''</sub>‖}} we can extract a coefficient {{nowrap| sqrt(''C''(''n'', ''r'' + 1)/''C''(''n'', ''r'')) {{=}} sqrt((''n'' − ''r'')/(''r'' + 1)) }}, which relates ''Ψ'' with ''E'' as follows: | Gene Ward Smith defines the TE error as the ratio {{nowrap|‖''M''<sub>''W''</sub> ∧ ''J''<sub>''W''</sub>‖/‖''M''<sub>''W''</sub>‖}}, derived from the relationship of TE simple badness and TE complexity. See the next section. We denote this definition of TE error ''Ψ''. From {{nowrap|‖''M''<sub>''W''</sub> ∧ ''J''<sub>''W''</sub>‖/‖''M''<sub>''W''</sub>‖}} we can extract a coefficient {{nowrap| sqrt(''C''(''n'', ''r'' + 1)/''C''(''n'', ''r'')) {{=}} sqrt((''n'' − ''r'')/(''r'' + 1)) }}, which relates ''Ψ'' with ''E'' as follows: | ||
$$ \Psi = \sqrt{\frac{r + 1}{n - r}} E $$ | $$ \Psi = \sqrt{\frac{r + 1}{n - r}} E $$ | ||
| Line 99: | Line 99: | ||
''G'' and ''ψ'' error both have the advantage that higher-rank temperament error corresponds directly to rank-1 error, but the RMS normalization has the further advantage that in the rank-1 case, {{nowrap| ''G'' {{=}} sin ''θ'' }} octaves, where ''θ'' is the angle between ''J''<sub>''W''</sub> and the val in question. | ''G'' and ''ψ'' error both have the advantage that higher-rank temperament error corresponds directly to rank-1 error, but the RMS normalization has the further advantage that in the rank-1 case, {{nowrap| ''G'' {{=}} sin ''θ'' }} octaves, where ''θ'' is the angle between ''J''<sub>''W''</sub> and the val in question. | ||
Sintel defines the TE error as the ratio {{nowrap|''G'' {{=}} ‖''M''<sub>''U''</sub> ∧ ''J''<sub>''U''</sub>‖/‖''M''<sub>''U''</sub>‖}}, using ''U''-weighted norm (see the next section), and it results to the same value of Graham's definition. | |||
== TE simple badness == | == TE simple badness == | ||
| Line 157: | Line 159: | ||
| 5.400 | | 5.400 | ||
| 2.763 | | 2.763 | ||
| | | 1.244×10<sup>−2</sup> | ||
|- | |- | ||
| Septimal magic | | Septimal magic | ||
| 7.195 | | 7.195 | ||
| 2.149 | | 2.149 | ||
| | | 1.288×10<sup>−2</sup> | ||
|} | |} | ||
{| class="wikitable center-all left-1" | {| class="wikitable center-all left-1" | ||
| Line 199: | Line 201: | ||
| 2.631 | | 2.631 | ||
| 6.441×10<sup>−3</sup> | | 6.441×10<sup>−3</sup> | ||
|} | |||
{| class="wikitable center-all left-1" | |||
|+ style="font-size: 105%;" | Sintel's norm | |||
|- | |||
! Temperament | |||
! Complexity | |||
! Error (¢) | |||
! Simple badness | |||
|- | |||
| Septimal meantone | |||
| 17.357 | |||
| 1.382 | |||
| 1.999×10<sup>−2</sup> | |||
|- | |||
| Septimal magic | |||
| 23.126 | |||
| 1.074 | |||
| 2.070×10<sup>−2</sup> | |||
|} | |} | ||