feat: add MATLAB CI workflow and unit test for OneEuroFilter

Author: cuixing158

.github/workflows/ci.yml

@@ -0,0 +1,19 @@
+name: MATLAB CI
+
+on: [push]
+
+jobs:
+  test:
+    name: Run Tests
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out repository
+        uses: actions/checkout@v4
+
+      - name: Set up MATLAB
+        uses: matlab-actions/setup-matlab@v2
+
+      - name: Run Unit Tests
+        uses: matlab-actions/run-tests@v2
+        with:
+          source-folder: .

README.md

@@ -2,6 +2,7 @@
 
 [![View OneEuroFilter on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/183059-oneeurofilter)
 [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=cuixing158/OneEuroFilter&file=ExampleOneEuroFilter)
+[![MATLAB CI](https://github.com/cuixing158/OneEuroFilter/actions/workflows/ci.yml/badge.svg)](https://github.com/cuixing158/OneEuroFilter/actions/workflows/ci.yml)
 
 A MATLAB implementation of the **1 Euro Filter**[^1], a simple algorithm for filtering noisy signals for high precision and responsiveness.
 
@@ -75,5 +76,5 @@ title('1 Euro Filter Result');
 ## References
 
 [^1]: **1 € Filter: A Simple Speed-based Low-pass Filter for Noisy Input in Interactive Systems**  Géry Casiez, Nicolas Roussel, and Daniel Vogel. CHI 2012.  
-> <http://cristal.univ-lille.fr/~casiez/1euro/> <br>
+> <https://gery.casiez.net/1euro/> <br>
 > <https://www.mathworks.com/matlabcentral/fileexchange/129829-smooth-data>

testValidGroundTruthData.m

@@ -0,0 +1,44 @@
+classdef testValidGroundTruthData < matlab.unittest.TestCase
+    % testValidGroundTruthData 验证 OneEuroFilter 是否符合标准 Ground Truth 数据
+    % 数据来源: https://github.com/casiez/OneEuroFilter
+
+    methods (Test)
+        function testGroundTruthValues(testCase)
+            % 1. 读取 Ground Truth 数据
+            url = "https://raw.githubusercontent.com/casiez/OneEuroFilter/main/groundTruth.csv";
+            try
+                data = readtable(url);
+            catch ME
+                testCase.verifyFail("Can't read from URL: " + ME.message);
+                return;
+            end
+
+            % 2. 设置滤波器参数
+            % 这些是生成 Ground Truth 数据时使用的标准参数
+            freq = 120;
+            mincutoff = 1.0;
+            beta = 0.1;
+            dcutoff = 1.0;
+
+            one_euro = OneEuroFilter(freq, ...
+                'mincutoff', mincutoff, ...
+                'beta_', beta, ...
+                'dcutoff', dcutoff);
+
+            % 3. 逐点滤波并验证
+            % 注意：Ground Truth 数据包含 timestamp, signal, noisy, filtered
+            for i = 1:height(data)
+                t = data.timestamp(i);
+                noisy_val = data.noisy(i);
+                expected_val = data.filtered(i);
+
+                % 执行滤波
+                actual_val = one_euro.filter(noisy_val, t);
+
+                % 验证结果 (使用 1e-4 的绝对误差容限，因为 CSV 精度有限)
+                testCase.verifyEqual(actual_val, expected_val, 'AbsTol', 1e-4, ...
+                    sprintf('Mismatch at index %d (t=%.4f)', i, t));
+            end
+        end
+    end
+end