Add more details to wavelet transform (#74)

* Add more details to wavelet transform

* Fixed flake errors

* Added blank line for docs build

* Try 2

* If this doesn't work I quit

src/process_nwb/wavelet_transform.py

@@ -240,7 +240,17 @@ def wavelet_transform(X, rate, filters='rat', hg_only=True, X_fft_h=None, npad='
     """Apply a wavelet transform using a prespecified set of filters.
 
     Calculates the center frequencies and bandwidths for the wavelets and applies them along with
-    a heavyside function to the fft of the signal before performing an inverse fft.
+    a heavyside function to the fft of the signal before performing an inverse fft. Here are additional details:
+
+    **1.** Computes the FFT of the signal and applies 2u(f), where u(f) = heaviside function necessary for
+    calculating analytic signal
+
+    **2.** Filters in the frequency domain by multiplying with a gaussian kernel
+    (or equivalently a complex morlet wavelet in the time domain). The gaussian kernel location = the center frequency
+    and the standard deviation = the center frequency / Q. For the 'rat' and 'human' filters, Q is constant with a
+    default value of 8
+
+    **3.** Computes the IFFT returning the analytic bandpassed (via a complex morlet wavelet) signal for each filter
 
     Parameters
     ----------