The sensitivity of a signal detection system is measured by calculating d', which is a statistical measure that takes into account both the hit rate (correctly detecting a signal) and the false alarm rate (incorrectly detecting a signal). A higher d' value indicates greater sensitivity in distinguishing between signal and noise.
Signal Detection Theory proposes that the detection of stimuli depends on both the intensity of the stimulus and the individual's psychological factors, such as motivation and expectancy. This theory suggests that perception is influenced by both the sensitivity of sensory processes and cognitive factors.
a theory predicting how and when we detect the presence of a faint stimulus ("signal") amid background stimulation ("noise"). Assumes there is no signal absolute threshold and detection depends partly on a person's experience, expectations, motivation, and level of fatigue.
Signal Detection Theory emphasizes that personal expectations and motivations influence the level of absolute thresholds by suggesting that an individual's sensitivity to a stimulus depends on both sensory factors and decision-making processes. This theory acknowledges that psychological factors such as expectation, motivation, and attentiveness can impact an individual's ability to detect a stimulus.
It is a DISTRESS signal ... calling for Help
Synchrony in EEG refers to the coordinated activity of brain regions measured by the EEG signal. It indicates when different parts of the brain are communicating and working together in a synchronized manner, which is important for various cognitive functions such as attention, memory, and perception. Deviations in synchrony patterns may be linked to neurological and psychiatric disorders.
higher sensitivity, easy signal detection, and well-established, rapid assays
Signal Detection Theory proposes that the detection of stimuli depends on both the intensity of the stimulus and the individual's psychological factors, such as motivation and expectancy. This theory suggests that perception is influenced by both the sensitivity of sensory processes and cognitive factors.
Signal detection theory, is a means to quantify the ability to discern between signal and noise. There are a number of determiners of how a detecting system will detect a signal, and where its threshold levels will be. When the detecting system is a human being, experience, expectations, physiological state (e.g. fatigue) and other factors can affect the threshold applied
a theory predicting how and when we detect the presence of a faint stimulus ("signal") amid background stimulation ("noise"). Assumes there is no signal absolute threshold and detection depends partly on a person's experience, expectations, motivation, and level of fatigue.
Instrument parameters such as resolution, signal-to-noise ratio, and detection limit can affect the accuracy and precision of absorption spectra measurements. A higher resolution can provide more detailed peak information, while a higher signal-to-noise ratio can improve the sensitivity of detecting small absorbance changes. Additionally, a lower detection limit can allow for the detection of lower concentrations of analytes.
Iickho Song has written: 'Advanced theory of signal detection' -- subject(s): Signal detection
AM is amplitude modulation. AM detection is the process of demodulation or recovering the information encoded in the signal through amplitude modulation. AM detection can be done through a simple diode detector which rectifies the AM signal.
The formula for calculating the phase of a signal in a communication system is phase arctan(imaginary part / real part).
Detection theory allows one to quantify the ability to discern between information bearing patterns and random patterns that causes confusion in the patterns. In electronics, detection theory is often called signal recovery.
Signal Detection Theory emphasizes that personal expectations and motivations influence the level of absolute thresholds by suggesting that an individual's sensitivity to a stimulus depends on both sensory factors and decision-making processes. This theory acknowledges that psychological factors such as expectation, motivation, and attentiveness can impact an individual's ability to detect a stimulus.
Ralph Dieter Hippenstiel has written: 'Detection theory' -- subject(s): Mathematics, Signal processing, Electronic surveillance, Digital techniques, Signal theory (Telecommunication), Detectors, Signal detection
A matched filter is a filter used in signal processing to maximize the signal-to-noise ratio for a known signal in the presence of noise. It is designed by matching the filter characteristics to the shape of the input signal to enhance the detection performance. It is commonly used in radar systems and communication systems for signal detection and recovery.