diff --git a/python_scripts/analyze_from_file.py b/python_scripts/analyze_from_file.py
index 4da4466..798ab25 100644
--- a/python_scripts/analyze_from_file.py
+++ b/python_scripts/analyze_from_file.py
@@ -6,11 +6,11 @@
 from ctypes import c_int32
 import os
 
-nr_arrays = 2  # todo: make this find the nr_arrays from the header :)
+nr_arrays = 1  # todo: make this find the nr_arrays from the header :)
 expected_columns = nr_arrays * 64 + 2
 
 
-def print_analysis(fileChooser, microphones, source_audio):
+def print_analysis(fileChooser, source_audio):
 
     def load_data_FPGA():
 
@@ -158,6 +158,5 @@ def main():
 print("Enter the frequency of the audio source (Hz): ")
 # source_audio=input()
 source_audio = 440
-microphones = [0]
 
-print_analysis(fileChooser, microphones, source_audio)
+print_analysis(fileChooser, source_audio)
diff --git a/python_scripts/sound_player.py b/python_scripts/sound_player.py
index 2a34e1f..78c3ac2 100644
--- a/python_scripts/sound_player.py
+++ b/python_scripts/sound_player.py
@@ -20,7 +20,7 @@ def Average(l):
 data = np.fromfile(path, dtype=c_int32, count=-1, offset=0)  # Read the whole file
 # reshapes into a Numpy array which is N*68 in dimensions
 
-nr_arrays = 2  # todo: make this find the nr_arrays from the header :)
+nr_arrays = 1  # todo: make this find the nr_arrays from the header :)
 expected_columns = nr_arrays * 64 + 2
 data2D = data.reshape(-1, expected_columns)
 
diff --git a/python_scripts/tb_fir_post_sim.py b/python_scripts/tb_fir_post_sim.py
index 75661f0..48d65e4 100644
--- a/python_scripts/tb_fir_post_sim.py
+++ b/python_scripts/tb_fir_post_sim.py
@@ -39,7 +39,7 @@ def moving_average(data, window_size):
 frequencies = np.fft.fftfreq(min_length, 1 / sample_rate)
 
 # Select frequencies within 0-10000 Hz
-max_freq = 10000
+max_freq = 20000
 indices = np.where((frequencies >= 0) & (frequencies <= max_freq))
 selected_frequencies = frequencies[indices]