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More tweaks to harmonic modelling

tags/1.6.1
Trevor Irons 5 jaren geleden
bovenliggende
commit
6e7f14da3e
3 gewijzigde bestanden met toevoegingen van 5 en 3 verwijderingen
  1. 1
    1
      akvo/gui/akvoGUI.py
  2. 1
    1
      akvo/gui/main.ui
  3. 3
    1
      akvo/tressel/harmonic.py

+ 1
- 1
akvo/gui/akvoGUI.py Bestand weergeven

@@ -1154,7 +1154,7 @@ class ApplicationWindow(QtWidgets.QMainWindow):
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             self.Log()
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         else:
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             err_msg = "Harmonic modelling noise cancellation has already been applied!"
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-            reply =QtWidgets.QMessageBox.critical(self, 'Error', 
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+            reply = QtWidgets.QMessageBox.critical(self, 'Error', 
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                 err_msg) 
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             return 
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+ 1
- 1
akvo/gui/main.ui Bestand weergeven

@@ -1372,7 +1372,7 @@ background: dark grey;
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                   <number>1</number>
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                  </property>
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                  <property name="maximum">
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-                  <number>10</number>
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+                  <number>100</number>
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                  </property>
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                  <property name="value">
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                   <number>1</number>

+ 3
- 1
akvo/tressel/harmonic.py Bestand weergeven

@@ -41,6 +41,7 @@ def minHarmonic(sN, fs, t, f0, k1, kN, ks):
41 41
     # CG, BFGS, Newton-CG, L-BFGS-B, TNC, SLSQP, dogleg, trust-ncg, trust-krylov, trust-exact and trust-constr
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     res = minimize(harmonicNorm, np.array((f0)), args=(sN, fs, t, k1, kN, ks), jac='2-point', method='BFGS') # hess=None, bounds=None )
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     #print(res)
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+    #print ( "guess", guessf0(  harmonicEuler(sN, fs, t, res.x[0], k1, kN, ks), fs  ) )
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     return harmonicEuler(sN, fs, t, res.x[0], k1, kN, ks)#[0]
45 46
 
46 47
 def harmonicEuler2 ( sN, fs, t, f0, f0k1, f0kN, f0ks, f1, f1k1, f1kN, f1ks ): 
@@ -92,7 +93,8 @@ def harmonic2Norm (f0, sN, fs, t, f0k1, f0kN, f0ks, f1k1, f1kN, f1ks):
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 def minHarmonic2(sN, fs, t, f0, f0k1, f0kN, f0ks, f1, f1k1, f1kN, f1ks):
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     # CG, BFGS, Newton-CG, L-BFGS-B, TNC, SLSQP, dogleg, trust-ncg, trust-krylov, trust-exact and trust-constr
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     res = minimize(harmonic2Norm, np.array((f0, f1)), args=(sN, fs, t, f0k1, f0kN, f0ks, f1k1,f1kN, f1ks), jac='2-point', method='BFGS') # hess=None, bounds=None )
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-    print(res)
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+    #print(res)
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+    #print ( "guess", guessf0(harmonicEuler2(sN, fs, t, res.x[0], f0k1, f0kN, f0ks, res.x[1], f1k1, f1kN, f1ks), fs)  )
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     return harmonicEuler2(sN, fs, t, res.x[0], f0k1, f0kN, f0ks, res.x[1], f1k1, f1kN, f1ks)#[0]
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98 100
 def guessf0( sN, fs ):

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