diff --git a/mysignal/__init__.py b/mysignal/__init__.py
index 2fb2513..124e462 100644
--- a/mysignal/__init__.py
+++ b/mysignal/__init__.py
@@ -1 +1 @@
-__version__ = '0.1.6'
+__version__ = '0.1.7'
diff --git a/mysignal/phasefreq.py b/mysignal/phasefreq.py
index 1b78605..cb8e4ce 100644
--- a/mysignal/phasefreq.py
+++ b/mysignal/phasefreq.py
@@ -9,7 +9,7 @@ from scipy.stats import linregress
 from scipy.optimize import curve_fit
 
 
-def filter_signal_by_modes(time, signal, num_modes=1, bandwidth_factor=0.1, required_cycles=40):
+def filter_signal_by_modes(time, signal, num_modes=1, bandwidth_factor=0.1, required_cycles=100):
     """
     Filtre un signal pour extraire ses composantes fréquentielles dominantes.
 
@@ -209,9 +209,17 @@ def analyze_signal_Hilbert(time, e_signal, s_signal, freq_rtol=0.01):
     period_e = 1 / freq_e
     period_s = 1 / freq_s
 
-    print(f'phase = {mean_phase_diff}')
-    return (period_e, period_s, freq_e, freq_s,
-            mean_phase_diff, phase_diff_deg, time_shift)
+ 
+
+    res = {'period_e': period_e,
+           'period_s': period_s,
+           'freq_e': freq_e,
+           'freq_s': freq_s,
+           'phase': mean_phase_diff,
+           'phrase_deg': phase_diff_deg,
+           'delay': time_shift}
+    
+    return res
 
 def analyze_signal_sinfit(time, e_signal, s_signal, freq_rtol=0.01):
     """
@@ -307,9 +315,16 @@ def analyze_signal_sinfit(time, e_signal, s_signal, freq_rtol=0.01):
     period_e = 1 / freq_e
     period_s = 1 / freq_s
 
-    print(f'phase = {phase_diff}')
-    return (period_e, period_s, freq_e, freq_s,
-            phase_diff, phase_diff_deg, time_shift)
+ 
+    res = {'period_e': period_e,
+           'period_s': period_s,
+           'freq_e': freq_e,
+           'freq_s': freq_s,
+           'phase': mean_phase_diff,
+           'phrase_deg': phase_diff_deg,
+           'delay': time_shift}
+    
+    return res
 
 
 
@@ -409,9 +424,16 @@ def analyze_signal_cross_correlation(time, e_signal, s_signal, freq_rtol=0.01):
     period_e = 1 / freq_e
     period_s = 1 / freq_s
 
-    print(f'phase = {phase_diff}')
-    return (period_e, period_s, freq_e, freq_s,
-            phase_diff, phase_diff_deg, time_shift)
+    res = {'period_e': period_e,
+           'period_s': period_s,
+           'freq_e': freq_e,
+           'freq_s': freq_s,
+           'phase': mean_phase_diff,
+           'phrase_deg': phase_diff_deg,
+           'delay': time_shift}
+    
+    return res
+
 
 
 def analyze_signal_wavelet(time, e_signal, s_signal, freq_rtol=0.01):
@@ -513,6 +535,13 @@ def analyze_signal_wavelet(time, e_signal, s_signal, freq_rtol=0.01):
     period_e = 1 / freq_e
     period_s = 1 / freq_s
 
-    print(f'phase = {mean_phase_diff}')
-    return (period_e, period_s, freq_e, freq_s,
-            mean_phase_diff, phase_diff_deg, time_shift)
+    res = {'period_e': period_e,
+           'period_s': period_s,
+           'freq_e': freq_e,
+           'freq_s': freq_s,
+           'phase': mean_phase_diff,
+           'phrase_deg': phase_diff_deg,
+           'delay': time_shift}
+    
+    return res
+