In the text, Sections 6.8.1 to 6.8.5 (Signal-to-Noise Ratio, Optimizing the Signal-to-Noise Ratio, The Lock-In Amplifier and Gated Integrator or Boxcar, Signal Averaging, Waveform Recovery) all provide additional and complementary information to the discussion here. If you are interested in counting experiments (radiation or low-level photon counting) you may also want to look at Section 6.8.6 ...

In the text, Sections 6.8.1 to 6.8.5 (Signal-to-Noise Ratio, Optimizing the Signal-to-Noise Ratio, The Lock-In Amplifier and Gated Integrator or Boxcar, Signal Averaging, Waveform Recovery) all provide additional and complementary information to the discussion here. If you are interested in counting experiments (radiation or low-level photon counting) you may also want to look at Section 6.8.6 ...

State estimators are crucial components of anomaly detectors that used to monitor cyber-physical systems. Many frequently-used state susceptible model risk as they rely critically on the availability an accurate state-space model. Modeling errors make it more difficult distinguish whether deviations from expected behavior due anomalies or simply a lack knowledge about system dynamics. In this r...

In this paper, the uncertainty is defined as the mean square error between a given enhanced noisy observation vector and the corresponding clean one. Then, a DNN is trained by using enhanced noisy observation vectors as input and the uncertainty as output with a training database. In testing, the DNN receives an enhanced noisy observation vector and delivers the estimated uncertainty. This unce...

In the text, Sections 6.8.1 to 6.8.5 (Signal-to-Noise Ratio, Optimizing the Signal-to-Noise Ratio, The Lock-In Amplifier and Gated Integrator or Boxcar, Signal Averaging, Waveform Recovery) all provide additional and complementary information to the discussion here. If you are interested in counting experiments (radiation or low-level photon counting) you may also want to look at Section 6.8.6 ...

In the text, Sections 6.8.1 to 6.8.5 (Signal-to-Noise Ratio, Optimizing the Signal-to-Noise Ratio, The Lock-In Amplifier and Gated Integrator or Boxcar, Signal Averaging, Waveform Recovery) all provide additional and complementary information to the discussion here. If you are interested in counting experiments (radiation or low-level photon counting) you may also want to look at Section 6.8.6 ...

In the text, Sections 6.8.1 to 6.8.5 (Signal-to-Noise Ratio, Optimizing the Signal-to-Noise Ratio, The Lock-In Amplifier and Gated Integrator or Boxcar, Signal Averaging, Waveform Recovery) all provide additional and complementary information to the discussion here. If you are interested in counting experiments (radiation or low-level photon counting) you may also want to look at Section 6.8.6 ...

In the text, Sections 6.8.1 to 6.8.5 (Signal-to-Noise Ratio, Optimizing the Signal-to-Noise Ratio, The Lock-In Amplifier and Gated Integrator or Boxcar, Signal Averaging, Waveform Recovery) all provide additional and complementary information to the discussion here. If you are interested in counting experiments (radiation or low-level photon counting) you may also want to look at Section 6.8.6 ...

This paper presents a logical account of sensor data assimilation in a mobile robot, based on abduction. Unlike previous work, the present formulation handles sensor noise as well as motor noise. In addition, it incorporates two significant technical advances. The use of determining fluents to deal with non-determinism obviates the need for a special form of abduction, and the use of uncertain ...