Projektbericht erweitert

TinnitusAnalyse/.idea/workspace.xml

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TinnitusAnalyse/SoundGenerator.py

             b, a = signal.iirfilter(order, cutoff_frequencies, rp=max_ripple_passband, btype='bandstop', ftype='butter',
                                     fs=self.music_samplerate)  # Diese Funktion erstellt den IIR-Bandpassfilter (links)
 
-            music_links = signal.lfilter(b, a, self.music_data[:, 0])  # diese Funktion filtert die Audiodaten
+            music_links = signal.lfilter(b, a, self.music_data[:, 0])  # diese Funktion wendet den Filter an
 
             # FIR Filterversuch
             # b = signal.firwin(order, cutoff_frequencies, pass_zero="bandstop", fs=self.music_samplerate, width=bandwidth,
 
         print("Speichern beendet.")
         self.filterfortschritt = 5, 0  #Nach erfolgreichem Filtern Fortschritt zur Bestätigung auf 5 setzen
-        # # Plot (hilfreich für Filterentwurf)
-        # freq, h = signal.freqz(b, a, fs=self.music_samplerate)
-        # fig, ax = plt.subplots(2, 1, figsize=(8, 6))
-        # ax[0].plot(freq, 20 * np.log10(abs(h)), color='blue')
-        # ax[0].set_title("Frequency Response")
-        # ax[0].set_ylabel("Amplitude (dB)", color='blue')
-        # ax[0].set_xlim([0, 10000])
-        # ax[0].set_ylim([-120, 10])
-        # ax[0].grid()
-        # ax[1].plot(freq, np.unwrap(np.angle(h)) * 180 / np.pi, color='green')
-        # ax[1].set_ylabel("Angle (degrees)", color='green')
-        # ax[1].set_xlabel("Frequency (Hz)")
-        # ax[1].set_xlim([0, 10000])
-        # ax[1].set_yticks([-90, -60, -30, 0, 30, 60, 90])
-        # ax[1].set_ylim([-90, 90])
-        # ax[1].grid()
-        # plt.show()
+        # Plot (hilfreich für Filterentwurf)
+        freq, h = signal.freqz(b, a, fs=self.music_samplerate)
+        fig, ax = plt.subplots(2, 1, figsize=(8, 6))
+        ax[0].plot(freq, 20 * np.log10(abs(h)), color='blue')
+        ax[0].set_title("Frequency Response")
+        ax[0].set_ylabel("Amplitude (dB)", color='blue')
+        ax[0].set_xlim([0, 10000])
+        ax[0].set_ylim([-120, 10])
+        ax[0].grid()
+        ax[1].plot(freq, np.unwrap(np.angle(h)) * 180 / np.pi, color='green')
+        ax[1].set_ylabel("Angle (degrees)", color='green')
+        ax[1].set_xlabel("Frequency (Hz)")
+        ax[1].set_xlim([0, 10000])
+        ax[1].set_yticks([-90, -60, -30, 0, 30, 60, 90])
+        ax[1].set_ylim([-90, 90])
+        ax[1].grid()
+        plt.show()

TinnitusAnalyse/TinnitusAnalyse_GUI.py

                         "Audiodatei unter dem Namen MyTinnitusFreeSong.wav erstellt", "white", "green")
             else:
                 print("Fehler bei Filterfunktion. Siehe Compiler-Meldungen")
-                feedback("Fehlgeschlagener Filterversuch. Ein SWAT-Team gut ausgebildeter Affen ist unterwegs!", "red", "white")
+                feedback("Fehlgeschlagener Filterversuch. Kontaktiere Entwickler und schreibe eventuell auf was genaud du gemacht hast", "red", "white")
         except:
             feedback("Fehlgeschlagener Filterversuch. Drücke zuerst den Speichern Knopf"
                      "Stelle sicher, dass die Lautstärke mindestens einer Seite über 0"

TinnitusAnalyse/TinnitusDaten.csv

-Vorname;Mustermann
-Nachname;Max
-linke Frequenz;8420.0
-linke Lautstärke;0.5
-linkes Rauschen Lautstärke;0.015
-linkes Rauschen untere Grenzfrequenz;7440.0
-linkes Rauschen obere Grenzfrequenz;11910.0
-rechte Frequenz;0.0
-rechte Lautstärke;0.0
+Vorname;asd
+Nachname;asd
+linke Frequenz;5040.0
+linke Lautstärke;0.08
+linkes Rauschen Lautstärke;0.0
+linkes Rauschen untere Grenzfrequenz;10.0
+linkes Rauschen obere Grenzfrequenz;20000.0
+rechte Frequenz;5040.0
+rechte Lautstärke;0.11
 rechtes Rauschen Lautstärke;0.0
 rechtes Rauschen untere Grenzfrequenz;10.0
 rechtes Rauschen obere Grenzfrequenz;20000.0
-Kommentar;Lediglich auf dem linken Ohr höre ich einen hohen Piepston
-und ein leises Rauschen (vergleichbar mit einem laufenden 
-Kühlschrank)
+Kommentar;