RTD file typo fixes

docs/source/usage.rst

@@ -4,7 +4,11 @@ Usage
 Generating a Signal
 --------------------
 
-.. code-block::
+.. code-block:: python
+
+    import numpy as np
+    import pysnr
+
     Fi = 2500
     Fs = 48000
     N = 1000
@@ -16,23 +20,33 @@ Generating a Signal
 Performing SNR
 ---------------
 
+Using signal and noise
+***********************
+
+.. code-block:: python
+
+    snr_value, noise_power = pysnr.snr_signal(signal, noise)
+
 Using only signal
 ******************
 
-.. code-block::
-    snr_value, noise_power = pysnr.snr_signal(signal, Fs)
+.. code-block:: python
+
+    snr_value, noise_power = pysnr.snr_signal(signal+noise, Fs)
 
 Using only density periodogram
 *******************************
 
-.. code-block::
+.. code-block:: python
+
     f, pxx = pysnr.periodogram(signal+noise, Fs, window=('kaiser', 38))
     snr_value, noise_power = pysnr.snr_power_spectral_density(pxx, f)
 
 Using only spectrum periodogram
 *******************************
 
-.. code-block::
+.. code-block:: python
+
     f, sxx = pysnr.periodogram(signal+noise, Fs, window=('kaiser', 38), scaling="spectrum")
     w = scipy.signal.windows.kaiser(len(signal), 38, False)
     rbw = pysnr.utils.enbw(w, Fs)
@@ -45,20 +59,23 @@ Performing THD
 Using only signal
 ******************
 
-.. code-block::
+.. code-block:: python
+
     thd_value, harmonic_power = pysnr.thd_signal(signal+noise, Fs)
 
 Using only density periodogram
 *******************************
 
-.. code-block::
+.. code-block:: python
+
     f, pxx = pysnr.periodogram(signal+noise, Fs, window=('kaiser', 38))
     thd_value, harmonic_power = pysnr.thd_power_spectral_density(pxx, f)
 
 Using only spectrum periodogram
 *******************************
 
-.. code-block::
+.. code-block:: python
+
     f, sxx = pysnr.periodogram(signal+noise, Fs, window=('kaiser', 38), scaling="spectrum")
     w = scipy.signal.windows.kaiser(len(signal), 38, False)
     rbw = pysnr.utils.enbw(w, Fs)
@@ -71,20 +88,23 @@ Performing SINAD
 Using only signal
 ******************
 
-.. code-block::
+.. code-block:: python
+
     sinad_value, noise_harmonic_power = pysnr.sinad_signal(signal+noise, Fs)
 
 Using only density periodogram
 *******************************
 
-.. code-block::
+.. code-block:: python
+
     f, pxx = pysnr.periodogram(signal+noise, Fs, window=('kaiser', 38))
     sinad_value, noise_harmonic_power = pysnr.sinad_power_spectral_density(pxx, f)
 
 Using only spectrum periodogram
 *******************************
 
-.. code-block::
+.. code-block:: python
+
     f, sxx = pysnr.periodogram(signal+noise, Fs, window=('kaiser', 38), scaling="spectrum")
     w = scipy.signal.windows.kaiser(len(signal), 38, False)
     rbw = pysnr.utils.enbw(w, Fs)
@@ -97,20 +117,23 @@ Performing TOI
 Using only signal
 ******************
 
-.. code-block::
+.. code-block:: python
+
     toi_value, signal_power, imod_power = pysnr.toi_signal(signal+noise, Fs)
 
 Using only density periodogram
 *******************************
 
-.. code-block::
+.. code-block:: python
+
     f, pxx = pysnr.periodogram(signal+noise, Fs, window=('kaiser', 38))
     toi_value, signal_power, imod_power = pysnr.toi_power_spectral_density(pxx, f)
 
 Using only spectrum periodogram
 *******************************
 
-.. code-block::
+.. code-block:: python
+
     f, sxx = pysnr.periodogram(signal+noise, Fs, window=('kaiser', 38), scaling="spectrum")
     w = scipy.signal.windows.kaiser(len(signal), 38, False)
     rbw = pysnr.utils.enbw(w, Fs)
@@ -123,20 +146,23 @@ Performing SFDR
 Using only signal
 ******************
 
-.. code-block::
+.. code-block:: python
+
     sfdr_value, spur_power = pysnr.sfdr_signal(signal+noise, Fs)
 
 Using only density periodogram
 *******************************
 
-.. code-block::
+.. code-block:: python
+
     f, pxx = pysnr.periodogram(signal+noise, Fs, window=('kaiser', 38))
     sfdr_value, spur_power = pysnr.sfdr_power_spectral_density(pxx, f)
 
 Using only spectrum periodogram
 *******************************
 
-.. code-block::
+.. code-block:: python
+
     f, sxx = pysnr.periodogram(signal+noise, Fs, window=('kaiser', 38), scaling="spectrum")
     w = scipy.signal.windows.kaiser(len(signal), 38, False)
     rbw = pysnr.utils.enbw(w, Fs)