From 148e0e9a4f3050eb29592a3f5c25c21ddf4cec12 Mon Sep 17 00:00:00 2001 From: Muhammad Naveed Tabassum <37240700+mntabassm@users.noreply.github.com> Date: Mon, 19 Mar 2018 10:11:59 +0200 Subject: [PATCH] Initial commit --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 762f905..724d074 100644 --- a/README.md +++ b/README.md @@ -29,14 +29,14 @@ The _SAEN-LARS_ package contains following files: __README__: This file. __Functions__: Function files for implementation of three algorithms proposed in the paper. -> * _[saen.m]()_: The main function, sequential adaptive elastic net (SAEN) approach. -> * _[cpwwen.m]()_: Auxiliary function, called by the main function three times. -> * _[clarswlasso.m]()_: Auxiliary function for finding knots and respective solutions at found knots. +> * _[saen.m](https://github.com/mntabassm/SAEN-LARS/blob/master/saen.m)_: The main function, sequential adaptive elastic net (SAEN) approach. +> * _[cpwwen.m](https://github.com/mntabassm/SAEN-LARS/blob/master/cpwwen.m)_: Auxiliary function, called by the main function three times. +> * _[clarswlasso.m](https://github.com/mntabassm/SAEN-LARS/blob/master/clarswlasso.m)_: Auxiliary function for finding knots and respective solutions at found knots. __Usage__: The files for the demo and an example. -> * _[Demo.mlx]()_: A live script demo. -> * _[Example.m]()_: An example for DoA estimation with a ULA in CBF application. -> * _[seed_data.mat]()_: Scenario data and pseudorandom number generator settings. +> * _[Demo.mlx](https://github.com/mntabassm/SAEN-LARS/blob/master/Demo.mlx)_: A live script demo. +> * _[Example.m](https://github.com/mntabassm/SAEN-LARS/blob/master/Example.m)_: An example for DoA estimation with a ULA in CBF application. +> * _[seed_data.mat](https://github.com/mntabassm/SAEN-LARS/blob/master/seed_data.mat)_: Scenario data and pseudorandom number generator settings. Download the package and extract the files into a folder with “full control” permission. Set the MATLAB home directory to the above folder. Thereafter, open either 'Demo.mlx' or 'Example.m' file in MATLAB and follow the steps.