Sensor Specifications Calculator
Calculate key sensor specifications including resolution, dynamic range, and bandwidth.
Calculation Results
Least Significant Bit (LSB)
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Dynamic Range (dB)
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Power Consumption (mW)
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Nyquist Frequency (Hz)
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Quantization Error
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🔢 Accuracy & Sensitivity Calculator
Calculate sensor accuracy, sensitivity, signal-to-noise ratio, and noise floor.
Accuracy & Sensitivity Results
RMS Noise (μV)
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Noise Floor (units)
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Signal-to-Noise Ratio (dB)
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Total Harmonic Distortion (%)
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Measurement Resolution
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📡 Sensor Fusion Protocols
Calculate Kalman filter parameters and sensor fusion algorithms for IMU integration.
Sensor Fusion Results
Kalman Gain
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Estimation Error
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Fusion Frequency (Hz)
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Latency (ms)
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Orientation Accuracy (°)
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// Kalman Filter Implementation
K = P * H^T * (H * P * H^T + R)^-1
x = x + K * (z - H * x)
P = (I - K * H) * P
🔗 Multi-Sensor Integration
Design multi-sensor arrays and calculate synchronization parameters.
Multi-Sensor Integration Results
Total Data Throughput (kbps)
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Max Synchronization Error (μs)
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Bus Utilization (%)
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Timestamp Resolution (ns)
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Power Budget (mW)
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🧪 Calibration & Testing
Calculate calibration parameters and test procedures for sensor deployment.
Calibration & Testing Results
Calibration Matrix Determinant
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Post-Calibration Accuracy (%)
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Temperature Drift Compensation
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Total Uncertainty Budget
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Recommended Recalibration (months)
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// Calibration Matrix (3x3)
[ 1.000 -0.020 0.015 ]
[ -0.018 1.000 -0.012 ]
[ 0.010 -0.008 1.000 ]
// Offset Vector
[ offset_x, offset_y, offset_z ]