feat: v3.5 - Multi-language acoustic algorithm scheduler

- Core: Python/C++/MATLAB tri-protocol bridge architecture - Validation: 5-type real-time field, type, dimension, completeness, and compatibility checking - UI: Premium Deep Sea theme with visual pipeline preview - Modules: Sea Trial Exclusive + Exception Hub + Algorithm Management - Tests: Full coverage with 5 automated test cases
2026-01-21 07:41:12 +08:00
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+[
+    {
+        "name": "预处理算子",
+        "version": "1.1.0",
+        "author": "Antigravity",
+        "description": "去直流、带通滤波（默认10-400Hz）",
+        "type": "python",
+        "module": "src.sample_algorithms",
+        "function": "dc_removal_and_bandpass",
+        "inputs": {
+            "raw_data": {
+                "field": "raw_data",
+                "type": "ndarray",
+                "description": "原始声呐数据"
+            },
+            "fs": {
+                "field": "sample_rate",
+                "type": "float",
+                "description": "采样率"
+            }
+        },
+        "outputs": {
+            "clean_data": {
+                "index": 0,
+                "type": "ndarray",
+                "description": "预处理后数据"
+            }
+        }
+    },
+    {
+        "name": "时频分析",
+        "version": "1.1.0",
+        "author": "Antigravity",
+        "description": "STFT 幅度谱计算",
+        "type": "python",
+        "module": "src.sample_algorithms",
+        "function": "stft_magnitude",
+        "inputs": {
+            "clean_data": {
+                "field": "clean_data",
+                "type": "ndarray",
+                "description": "清洗后数据"
+            }
+        },
+        "outputs": {
+            "stft_data": {
+                "index": 0,
+                "type": "ndarray",
+                "description": "STFT矩阵"
+            }
+        }
+    },
+    {
+        "name": "SNR估计",
+        "version": "1.1.0",
+        "author": "Antigravity",
+        "description": "基于 RMS/Var 的简易信噪比估计",
+        "type": "python",
+        "module": "src.sample_algorithms",
+        "function": "snr_estimation",
+        "inputs": {
+            "raw_data": {
+                "field": "raw_data",
+                "type": "ndarray",
+                "description": "待评估数据"
+            }
+        },
+        "outputs": {
+            "snr_value": {
+                "index": 0,
+                "type": "float",
+                "description": "信噪比(dB)"
+            }
+        }
+    },
+    {
+        "name": "质量巡检",
+        "version": "1.1.0",
+        "author": "Antigravity",
+        "description": "掉点、饱和与数据完整性检测",
+        "type": "python",
+        "module": "src.sample_algorithms",
+        "function": "quality_check",
+        "inputs": {
+            "raw_data": {
+                "field": "raw_data",
+                "type": "ndarray",
+                "description": "待校验原始数据"
+            }
+        },
+        "outputs": {
+            "core_index": {
+                "index": 0,
+                "type": "dict",
+                "description": "质量指标集"
+            }
+        }
+    },
+    {
+        "name": "C++ 增益算子",
+        "version": "1.0.0",
+        "author": "Antigravity",
+        "description": "使用 C++ 侧实现的高效增益处理(1.5x)",
+        "type": "cpp",
+        "lib_path": "src/sample_algos_cpp/simple_ops.so",
+        "function": "multiply_by_factor_cpp",
+        "inputs": {
+            "in_data": {
+                "field": "clean_data",
+                "type": "ndarray",
+                "description": "输入数据"
+            }
+        },
+        "outputs": {
+            "gain_data": {
+                "type": "ndarray",
+                "index": 0,
+                "description": "增益后数据"
+            }
+        }
+    },
+    {
+        "name": "MATLAB 带通算子",
+        "version": "1.0.0",
+        "author": "Antigravity",
+        "description": "基于 MATLAB .m 实现的带通滤波",
+        "type": "matlab",
+        "m_path": "src/sample_algos_matlab",
+        "function": "bandpass_filter_m",
+        "inputs": {
+            "in_data": {
+                "field": "raw_data",
+                "type": "ndarray",
+                "description": "输入数据"
+            },
+            "fs": {
+                "field": "sample_rate",
+                "type": "float",
+                "description": "采样率"
+            }
+        },
+        "outputs": {
+            "m_filtered": {
+                "type": "ndarray",
+                "index": 0,
+                "description": "滤波后数据"
+            }
+        }
+    }
+]