diff --git a/code/chirpdetection.py b/code/chirpdetection.py
index 889004f..603c20b 100644
--- a/code/chirpdetection.py
+++ b/code/chirpdetection.py
@@ -171,10 +171,11 @@ def main(datapath: str) -> None:
     ident = np.load(datapath + "ident_v.npy", allow_pickle=True)
 
     # set time window # <------------------------ Iterate through windows here
-    window_duration = 60 * 5    # 5 minutes window
-    window_overlap = 30         # 30 seconds overlap
+    window_duration = 60 * 5 * data.samplerate    # 5 minutes window
+    window_overlap = 30 * data.samplerate         # 30 seconds overlap
+    raw_time = np.arange(data.shape[0])
     window_starts = np.arange(
-        time[0], time[-1], window_duration)
+        raw_time[0], raw_time[-1], window_duration - window_overlap / 2)
 
     embed()
     exit()
diff --git a/code/modules/filters.py b/code/modules/filters.py
index 499a3dc..5192cdc 100644
--- a/code/modules/filters.py
+++ b/code/modules/filters.py
@@ -17,13 +17,14 @@ def bandpass_filter(
     rate : float
         The sampling rate
     lowf : float
-        The low frequency cutoff
+        The low cutoff frequency
     highf : float
-        The high frequency cutoff
+        The high cutoff frequency
 
     Returns
     -------
-    np.ndarray : The filtered data
+    np.ndarray
+        The filtered data
     """
     sos = butter(2, (lowf, highf), "bandpass", fs=rate, output="sos")
     fdata = sosfiltfilt(sos, data)