first

src-tauri/src/algorithm/smoothmethod.rs

@@ -0,0 +1,23 @@
+extern crate savgol_rs;
+
+
+use savgol_rs::savgol_filter;
+pub fn savgol(data: Vec<f64>, window: usize, order: usize) -> Vec<f64> {
+    let svinput= savgol_rs::SavGolInput{data:&data,window_length:window,poly_order:order,derivative:0};
+
+    savgol_filter(&svinput).unwrap()
+}
+
+
+#[test]
+fn test_savgol() {
+    // 示例数据
+    let data = vec![1.0, 1.9, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0];
+    let window = 5;
+    let order = 2;
+
+    // 调用 savgol 函数
+    let smoothed_data = savgol(data.clone(), window, order);
+    println!("Smoothed data: {:?}", smoothed_data);
+
+}