From 8b4dc5fc88557c1089dfb7b5803f403ae54b82ec Mon Sep 17 00:00:00 2001
From: RichieHakim <RichHakim@gmail.com>
Date: Sun, 4 Feb 2024 13:20:01 -0500
Subject: [PATCH] typo

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index e4a6b5c..241146e 100644
--- a/README.md
+++ b/README.md
@@ -109,7 +109,7 @@ understand, and it has fewer constraints on the input parameters compared to
     important operations are done in PyTorch (with backends in `C` or `CUDA`).
   - Allowing for some loss in accuracy:
     - For conv1d approach: Use a strided convolution.
-    - For fftconv approach: Downsampl using `n=n_samples_downsampled` in `ifft`
+    - For fftconv approach: Downsample using `n=n_samples_downsampled` in `ifft`
       function.
   - Non-trivial ideas that theoretically could speed things up:
     - An FFT implementation that allows for a reduced set of frequencies to be