Statistical veto methods are commonly used to reduce the list of candidate gravitational wave (GW) events which are detected as transient (burst) signals in the main output of GW detectors. If a burst event in the GW channel is coincident with an event in a veto channel (where the veto channel does not contain any GW signal), it is possible to veto the event from the GW channel with a low ‘fals...

We demonstrate a multi-rate burst-mode photon-counting receiver for undersea communication at data rates up to 10.416 Mb/s over a 30-foot water channel. To the best of our knowledge, this is the first demonstration of burst-mode photon-counting communication. With added attenuation, the maximum link loss is 97.1 dB at =517 nm. In clear ocean water, this equates to link distances up to 148 mete...

The quest to observe gravitational waves challenges our ability to discriminate signals from detector noise. This issue is especially relevant for transient gravitational waves searches with a robust eyes wide open approach, the so called allsky burst searches. Here we show how signal classification methods inspired by broad astrophysical characteristics can be implemented in all-sky burst sear...

Modulation quality in most of digitally encoded cellular systems is examined by measuring the phase error and the frequency error of the transmitted signal. Phase error is an indication of how accurately the individual bits modulate the radio-frequency carrier; frequency error is the difference between the specified carrier frequency and the actual carrier frequency. The paper proposes a new te...

The neural velocity to position integrators transform the saccade related signal of the burst generators into an eye position related tonic signal they convey to motoneurons. They are largely confined to three heavily interconnected midbrain structures: 1) The interstitial nucleus of Cajal (NIC), 2) The nucleus prepositus hypoglossi (NPH), 3) The vestibular nuclei (VN). Integration in the horiz...

OBJECTIVE There is growing interest in using closed-loop anesthetic delivery (CLAD) systems to automate control of brain states (sedation, unconsciousness and antinociception) in patients receiving anesthesia care. The accuracy and reliability of these systems can be improved by using as control signals electroencephalogram (EEG) markers for which the neurophysiological links to the anesthetic-...

The human electroencephalogram (EEG) constitutes a nonstationary, nonlinear electrophysiological signal resulting from synchronous firing of neurons in thalamocortical structures the brain. Due to complexity brain's physiological and its rhythmic oscillations, analysis EEG often utilises spectral methods. Aim : improve clinical monitoring neurophysiological signals further explain basic princip...