kfr

commit 60670a6dc52dc56d9d66cbaaad9207f7fbeff5d9
parent 27642d0631ace9e7c07cbb42c41287cba2aa9d2d
Author: acxz <17132214+acxz@users.noreply.github.com>
Date:   Mon, 16 Mar 2020 01:27:38 -0400

Add instructions for archlinux package

Diffstat:
M
README.md
 | 
14
++++++++++++--

1 file changed, 12 insertions(+), 2 deletions(-)
diff --git a/README.md b/README.md
@@ -125,7 +125,7 @@ See [fft benchmark](https://github.com/kfrlib/fft-benchmark) for details about b
  (*Higher is better*)
 
 ![Biquad Performance](img/biquad.svg)
-    
+
 # Usage
 
 ## Common prerequisites
@@ -135,7 +135,7 @@ See [fft benchmark](https://github.com/kfrlib/fft-benchmark) for details about b
 * (Optional) Ninja (https://ninja-build.org/)
 
 For running examples and plotting frequency responses of filters the following python packages are required:
-  
+
 ```bash
 pip install matplotlib
 pip install numpy
@@ -171,6 +171,16 @@ cmake -GNinja -DENABLE_CAPI_BUILD=ON -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_COMP
 ninja kfr_capi
 ```
 
+#### ArchLinux Package
+KFR is available on the [ArchLinux User Repository](https://wiki.archlinux.org/index.php/Arch_User_Repository) (AUR).
+You can install it with an [AUR helper](https://wiki.archlinux.org/index.php/AUR_helpers), like [`yay`](https://aur.archlinux.org/packages/yay/), as follows:
+
+```bash
+yay -S kfr
+```
+To discuss any issues related to this AUR package refer to the comments section of
+[`kfr`](https://aur.archlinux.org/packages/kfr/).
+
 Prebuilt binaries will be available soon.
 
 ## Including in CMake project