{
  "environment": {
    "python": "3.12.10",
    "numpy": "2.5.3"
  },
  "config": {
    "sample_rate": 200.0,
    "duration": 8.0,
    "base_frequency": 8.0,
    "amplitude": 1.2,
    "noise_std": 0.55,
    "ar_coefficient": 0.86,
    "impulse_probability": 0.012,
    "seed": 42,
    "signal_model": "random_process",
    "waveform": "random_process",
    "noise_model": "mixed"
  },
  "summary": {
    "time_features": {
      "mean": -0.0001261655893997271,
      "variance": 0.7538647337943593,
      "std": 0.8682538417964871,
      "rms": 0.8682538509630207,
      "peak": 2.5721342212892075,
      "peak_to_peak": 4.62808611980169,
      "crest_factor": 2.962421898196445,
      "skewness": -0.06564979779557997,
      "kurtosis": 2.335609611783081,
      "impulse_factor": 3.554338516036516,
      "shape_factor": 1.1998083453934576,
      "clearance_factor": 4.0835051377511835,
      "zero_crossing_rate": 0.08442776735459662,
      "lag1_autocorrelation": 0.9699513851699183,
      "lag6_autocorrelation": 0.24883378673809695
    },
    "frequency_features": {
      "dominant_frequency_hz": 8.0,
      "dominant_power": 157712.78955155762,
      "mean_frequency_hz": 14.979777409951796,
      "spectral_centroid_hz": 7.346701545270375,
      "rms_frequency_hz": 8.446433829583102,
      "frequency_variance_hz2": 17.368220842247744,
      "frequency_std_hz": 4.167519747073521,
      "spectral_bandwidth_hz": 4.167519747073521,
      "spectral_entropy": 0.36351473519441174,
      "spectral_rolloff_85_hz": 8.125,
      "top_peaks": [
        {
          "frequency_hz": 8.0,
          "power": 157712.78955155762
        },
        {
          "frequency_hz": 7.875,
          "power": 41144.27352831679
        },
        {
          "frequency_hz": 8.125,
          "power": 32792.81398111956
        },
        {
          "frequency_hz": 0.125,
          "power": 4864.532581623334
        },
        {
          "frequency_hz": 0.875,
          "power": 4674.278294152882
        }
      ]
    },
    "quality": {
      "raw_snr_db": 2.8586184430642687,
      "processed_snr_db": 4.780632617508033,
      "snr_improvement_db": 1.9220141744437642,
      "anomaly_rate": 0.001875,
      "detected_anomaly_count": 3,
      "has_clean_reference": true
    }
  },
  "decision": {
    "status": "可用但需抑噪",
    "filter_level": "中等滤波",
    "recommended_actions": [
      "保持鲁棒异常点抑制，并使用 7-9 点平滑窗口",
      "主频与目标频率一致，可继续跟踪该频段能量变化",
      "时间相关性强，可引入 AR 模型或卡尔曼滤波进行预测"
    ],
    "control_parameters": {
      "next_smoothing_window": 9,
      "next_window_seconds": 8.0,
      "track_frequency_hz": 8.0
    }
  },
  "trace": [
    {
      "agent": "SensorAgent",
      "action": "采集随机信号",
      "detail": "采样率 200 Hz，时长 8.0 s，共 1600 点。"
    },
    {
      "agent": "PreprocessAgent",
      "action": "噪声预处理",
      "detail": "检测并修复 3 个脉冲异常点，去除均值 -0.0172，滑动平均窗口 7。"
    },
    {
      "agent": "FeatureAgent",
      "action": "提取时频域特征",
      "detail": "RMS=0.868，一阶自相关=0.970，主频=8.00 Hz，谱熵=0.364。"
    },
    {
      "agent": "DecisionAgent",
      "action": "生成控制决策",
      "detail": "判定状态为“可用但需抑噪”，控制策略为“中等滤波”。"
    }
  ],
  "comparison": [
    {
      "method": "robust_mean",
      "label": "鲁棒滑动平均",
      "parameters": {
        "smoothing_window": 7,
        "anomaly_threshold_sigma": 3.0,
        "repair_impulses": true,
        "remove_mean": true,
        "method": "robust_mean",
        "lowpass_cutoff_hz": null,
        "sample_rate": 200.0,
        "ema_alpha": 0.22,
        "kalman_process_noise": 0.02,
        "kalman_measurement_noise": 0.25,
        "kalman_initial_error": 1.0
      },
      "snr_db": 4.780632617508033
    },
    {
      "method": "median",
      "label": "中值滤波",
      "parameters": {
        "smoothing_window": 7,
        "anomaly_threshold_sigma": 3.0,
        "repair_impulses": true,
        "remove_mean": true,
        "method": "median",
        "lowpass_cutoff_hz": null,
        "sample_rate": 200.0,
        "ema_alpha": 0.22,
        "kalman_process_noise": 0.02,
        "kalman_measurement_noise": 0.25,
        "kalman_initial_error": 1.0
      },
      "snr_db": 4.583042651232308
    },
    {
      "method": "ema",
      "label": "指数平滑",
      "parameters": {
        "smoothing_window": 7,
        "anomaly_threshold_sigma": 3.0,
        "repair_impulses": true,
        "remove_mean": true,
        "method": "ema",
        "lowpass_cutoff_hz": null,
        "sample_rate": 200.0,
        "ema_alpha": 0.22,
        "kalman_process_noise": 0.02,
        "kalman_measurement_noise": 0.25,
        "kalman_initial_error": 1.0
      },
      "snr_db": 1.8286362804607903
    },
    {
      "method": "fft_lowpass",
      "label": "FFT 低通",
      "parameters": {
        "smoothing_window": 7,
        "anomaly_threshold_sigma": 3.0,
        "repair_impulses": true,
        "remove_mean": true,
        "method": "fft_lowpass",
        "lowpass_cutoff_hz": null,
        "sample_rate": 200.0,
        "ema_alpha": 0.22,
        "kalman_process_noise": 0.02,
        "kalman_measurement_noise": 0.25,
        "kalman_initial_error": 1.0
      },
      "snr_db": 4.153519499449682
    },
    {
      "method": "hybrid",
      "label": "混合增强",
      "parameters": {
        "smoothing_window": 7,
        "anomaly_threshold_sigma": 3.0,
        "repair_impulses": true,
        "remove_mean": true,
        "method": "hybrid",
        "lowpass_cutoff_hz": null,
        "sample_rate": 200.0,
        "ema_alpha": 0.22,
        "kalman_process_noise": 0.02,
        "kalman_measurement_noise": 0.25,
        "kalman_initial_error": 1.0
      },
      "snr_db": 4.671513985324282
    },
    {
      "method": "kalman",
      "label": "卡尔曼滤波",
      "parameters": {
        "smoothing_window": 7,
        "anomaly_threshold_sigma": 3.0,
        "repair_impulses": true,
        "remove_mean": true,
        "method": "kalman",
        "lowpass_cutoff_hz": null,
        "sample_rate": 200.0,
        "ema_alpha": 0.22,
        "kalman_process_noise": 0.02,
        "kalman_measurement_noise": 0.25,
        "kalman_initial_error": 1.0
      },
      "snr_db": 2.1444315767211735
    }
  ]
}