The principle of noise cancellation is straightforward enough: a microphone on the headphone cable detects the ambient sounds, and feeds its inverse into the signal being delivered to the earpieces.
The principle of noise-driven transitions has also been appealed to explain the neurophysiological and behavioral signatures of Weber's law, in the context of a two-forced choice vibrotactile task [34].
This paper uses the basic principles of aircraft noise modeling.
The basic principle of feedforward noise cancellation for broadband active noise reduction is based on the availability of a reliable measurement of the noise source.
The principle of active noise control is to reduce the noise radiated from a primary source by superimposing a signal from a secondary source, which is made identical in amplitude but opposite in phase to the primary sound signal.
However, any input that lies in the space between the two different HDE trajectories, corresponding to the two different input histories, can in principle (disregarding the effects of noise) discriminate between the two cases.
Our focus is on two types of noise exploitation principles, namely, (a) stochastic resonance and (b) noise shaping, which are unified within a framework called ΣΔ learning.
It appears to be a general organising principle that in the presence of noise that scales with the magnitude of the motor output, the CNS selects movement trajectories that minimise the variance of the terminal position of the limb [13].
