Replace nyq argument with fs in firwin calls (#44)

The Nyquist frequency (`nyq`) argument has been deprecated since Scipy
version 1.0.0 and removed in version 1.12.0. Sampling frequency (`fs`)
should be provided instead.

content-es/filters.rst

@@ -225,7 +225,7 @@ Y aunque todavía no hemos entrado en el diseño del filtro, aquí está el cód
     sample_rate = 32000 # Hz
 
     # create our low pass filter
-    h = signal.firwin(num_taps, cut_off, nyq=sample_rate/2)
+    h = signal.firwin(num_taps, cut_off, fs=sample_rate)
 
     # plot the impulse response
     plt.plot(h, '.-')

content-fr/filters.rst

@@ -162,7 +162,7 @@ Et même si nous n'avons pas encore abordé la conception des filtres, voici le
     sample_rate = 32000 # Hz
 
     # créer notre filtre passe-bas
-    h = signal.firwin(num_taps, cut_off, nyq=sample_rate/2)
+    h = signal.firwin(num_taps, cut_off, fs=sample_rate)
 
     # tracer la réponse impulsionnelle
     plt.plot(h, '.-')

content-nl/filters.rst

@@ -221,7 +221,7 @@ Ook al hebben we nog niets geleerd over filterontwerp, hieronder kun je de code
     sample_rate = 32000 # Hz
 
     # laag-doorlaatfilter
-    h = signal.firwin(num_taps, cut_off, nyq=sample_rate/2)
+    h = signal.firwin(num_taps, cut_off, fs=sample_rate)
 
     # impulsrespons weergeven
     plt.plot(h, '.-')

content-ukraine/filters.rst

@@ -231,7 +231,7 @@ Example Use-Case
     sample_rate = 32000 # Hz
 
     # create our low pass filter
-    h = signal.firwin(num_taps, cut_off, nyq=sample_rate/2)
+    h = signal.firwin(num_taps, cut_off, fs=sample_rate)
 
     # plot the impulse response
     plt.plot(h, '.-')

content-zh/filters.rst

@@ -226,7 +226,7 @@ Example Use-Case
     sample_rate = 32000 # Hz
 
     # create our low pass filter
-    h = signal.firwin(num_taps, cut_off, nyq=sample_rate/2)
+    h = signal.firwin(num_taps, cut_off, fs=sample_rate)
 
     # plot the impulse response
     plt.plot(h, '.-')

content/filters.rst

@@ -225,7 +225,7 @@ And even though we haven't gotten into filter design yet, here is the Python cod
     sample_rate = 32000 # Hz
 
     # create our low pass filter
-    h = signal.firwin(num_taps, cut_off, nyq=sample_rate/2)
+    h = signal.firwin(num_taps, cut_off, fs=sample_rate)
 
     # plot the impulse response
     plt.plot(h, '.-')

figure-generating-scripts/filters_chapter.py

@@ -8,7 +8,7 @@
     sample_rate = 32000  # Hz
 
     # create our low pass filter
-    h = signal.firwin(num_taps, cut_off, nyq=sample_rate / 2)
+    h = signal.firwin(num_taps, cut_off, fs=sample_rate)
 
     # plot the impulse response
     plt.plot(h, '.-')