Projektbericht erweitert
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seyffejn
parent
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commit
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TinnitusAnalyse/.idea/workspace.xml
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63
TinnitusAnalyse/.idea/workspace.xml
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BIN
TinnitusAnalyse/BeispielMusikDateien/whitenoise.wav
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TinnitusAnalyse/BeispielMusikDateien/whitenoise.wav
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@ -260,7 +260,7 @@ class Sound:
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b, a = signal.iirfilter(order, cutoff_frequencies, rp=max_ripple_passband, btype='bandstop', ftype='butter',
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fs=self.music_samplerate) # Diese Funktion erstellt den IIR-Bandpassfilter (links)
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music_links = signal.lfilter(b, a, self.music_data[:, 0]) # diese Funktion filtert die Audiodaten
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music_links = signal.lfilter(b, a, self.music_data[:, 0]) # diese Funktion wendet den Filter an
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# FIR Filterversuch
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# b = signal.firwin(order, cutoff_frequencies, pass_zero="bandstop", fs=self.music_samplerate, width=bandwidth,
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@ -374,20 +374,20 @@ class Sound:
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print("Speichern beendet.")
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self.filterfortschritt = 5, 0 #Nach erfolgreichem Filtern Fortschritt zur Bestätigung auf 5 setzen
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# # Plot (hilfreich für Filterentwurf)
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# freq, h = signal.freqz(b, a, fs=self.music_samplerate)
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# fig, ax = plt.subplots(2, 1, figsize=(8, 6))
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# ax[0].plot(freq, 20 * np.log10(abs(h)), color='blue')
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# ax[0].set_title("Frequency Response")
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# ax[0].set_ylabel("Amplitude (dB)", color='blue')
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# ax[0].set_xlim([0, 10000])
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# ax[0].set_ylim([-120, 10])
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# ax[0].grid()
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# ax[1].plot(freq, np.unwrap(np.angle(h)) * 180 / np.pi, color='green')
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# ax[1].set_ylabel("Angle (degrees)", color='green')
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# ax[1].set_xlabel("Frequency (Hz)")
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# ax[1].set_xlim([0, 10000])
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# ax[1].set_yticks([-90, -60, -30, 0, 30, 60, 90])
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# ax[1].set_ylim([-90, 90])
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# ax[1].grid()
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# plt.show()
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# Plot (hilfreich für Filterentwurf)
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freq, h = signal.freqz(b, a, fs=self.music_samplerate)
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fig, ax = plt.subplots(2, 1, figsize=(8, 6))
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ax[0].plot(freq, 20 * np.log10(abs(h)), color='blue')
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ax[0].set_title("Frequency Response")
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ax[0].set_ylabel("Amplitude (dB)", color='blue')
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ax[0].set_xlim([0, 10000])
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ax[0].set_ylim([-120, 10])
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ax[0].grid()
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ax[1].plot(freq, np.unwrap(np.angle(h)) * 180 / np.pi, color='green')
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ax[1].set_ylabel("Angle (degrees)", color='green')
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ax[1].set_xlabel("Frequency (Hz)")
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ax[1].set_xlim([0, 10000])
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ax[1].set_yticks([-90, -60, -30, 0, 30, 60, 90])
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ax[1].set_ylim([-90, 90])
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ax[1].grid()
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plt.show()
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@ -230,7 +230,7 @@ def unten_button_filtere_tinnitus_aus_musik():
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"Audiodatei unter dem Namen MyTinnitusFreeSong.wav erstellt", "white", "green")
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else:
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print("Fehler bei Filterfunktion. Siehe Compiler-Meldungen")
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feedback("Fehlgeschlagener Filterversuch. Ein SWAT-Team gut ausgebildeter Affen ist unterwegs!", "red", "white")
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feedback("Fehlgeschlagener Filterversuch. Kontaktiere Entwickler und schreibe eventuell auf was genaud du gemacht hast", "red", "white")
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except:
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feedback("Fehlgeschlagener Filterversuch. Drücke zuerst den Speichern Knopf"
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"Stelle sicher, dass die Lautstärke mindestens einer Seite über 0"
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@ -1,16 +1,14 @@
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Vorname;Mustermann
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Nachname;Max
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linke Frequenz;8420.0
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linke Lautstärke;0.5
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linkes Rauschen Lautstärke;0.015
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linkes Rauschen untere Grenzfrequenz;7440.0
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linkes Rauschen obere Grenzfrequenz;11910.0
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rechte Frequenz;0.0
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rechte Lautstärke;0.0
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Vorname;asd
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Nachname;asd
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linke Frequenz;5040.0
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linke Lautstärke;0.08
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linkes Rauschen Lautstärke;0.0
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linkes Rauschen untere Grenzfrequenz;10.0
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linkes Rauschen obere Grenzfrequenz;20000.0
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rechte Frequenz;5040.0
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rechte Lautstärke;0.11
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rechtes Rauschen Lautstärke;0.0
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rechtes Rauschen untere Grenzfrequenz;10.0
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rechtes Rauschen obere Grenzfrequenz;20000.0
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Kommentar;Lediglich auf dem linken Ohr höre ich einen hohen Piepston
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und ein leises Rauschen (vergleichbar mit einem laufenden
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Kühlschrank)
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Kommentar;
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