Some notes on ’’The thermal‐noise limit in detection of underwater acoustic signals’’ [J. Acoust. Soc. Am. 24, 478–480 (1952)]

1981 ◽  
Vol 70 (2) ◽  
pp. 631-632 ◽  
Author(s):  
Edmund J. Sullivan ◽  
Kenneth A. Kemp
Keyword(s):  
Thermal Noise ◽  
Acoustic Signals ◽  
Underwater Acoustic ◽  
Noise Limit

EFFECT OF CELLULAR MEMBRANE RESISTIVITY INHOMOGENEITY ON THE THERMAL NOISE-LIMIT

2015 ◽  
Vol 11 (3) ◽  
pp. 3171-3183
Author(s):  
Gyula Vincze
Keyword(s):  
Field Strength ◽  
Thermal Noise ◽  
Cellular Membrane ◽  
Thermal Limit ◽  
Low Frequencies ◽  
Membrane Resistivity ◽  
Noise Limit ◽  
The Asymmetry ◽  
Characteristic Field

Our objective is to generalize the Weaver-Astumian (WA) and Kaune (KA) models of thermal noise limit to the case ofcellular membrane resistivity asymmetry. The asymmetry of resistivity causes different effects in the two models. In the KAmodel, asymmetry decreases the characteristic field strength of the thermal limit over and increases it below the breakingfrequency (10  m), while asymmetry decreases the spectral field strength of the thermal noise limit at all frequencies.We show that asymmetry does not change the character of the models, showing the absence of thermal noise limit at highand low frequencies in WA and KA models, respectively.

scholarly journals Locating Ships Using Time Reversal and Matrix Pencil Method by Their Underwater Acoustic Signals

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5065
Author(s):  
Daniel Chaparro-Arce ◽  
Sergio Gutierrez ◽  
Andres Gallego ◽  
Cesar Pedraza ◽  
Felix Vega ◽  
...  
Keyword(s):  
Time Reversal ◽  
Communication Channel ◽  
Matrix Pencil ◽  
Acoustic Signals ◽  
Underwater Acoustic ◽  
Low Bit Rate ◽  
Matrix Pencil Method ◽  
The Matrix ◽  
Resonance Expansion ◽  
Passive Sensors

This paper presents a technique, based on the matrix pencil method (MPM), for the compression of underwater acoustic signals produced by boat engines. The compressed signal, represented by its complex resonance expansion, is intended to be sent over a low-bit-rate wireless communication channel. We demonstrate that the method can provide data compression greater than 60%, ensuring a correlation greater than 93% between the reconstructed and the original signal, at a sampling frequency of 2.2 kHz. Once the signal was reconstituted, a localization process was carried out with the time reversal method (TR) using information from four different sensors in a simulation environment. This process sought to achieve the identification of the position of the ship using only passive sensors, considering two different sensor arrangements.

scholarly journals Nano-Kelvin Thermometry and Temperature Control: Beyond the Thermal Noise Limit

2014 ◽  
Vol 112 (16) ◽  
Author(s):  
Wenle Weng ◽  
James D. Anstie ◽  
Thomas M. Stace ◽  
Geoff Campbell ◽  
Fred N. Baynes ◽  
...  
Keyword(s):  
Temperature Control ◽  
Thermal Noise ◽  
Noise Limit

scholarly journals Underwater acoustic signals induced by intense ultrashort laser pulse

2015 ◽  
Vol 137 (4) ◽  
pp. EL288-EL292 ◽  
Author(s):  
Yohann Brelet ◽  
Amélie Jarnac ◽  
Jérôme Carbonnel ◽  
Yves-Bernard André ◽  
André Mysyrowicz ◽  
...  
Keyword(s):  
Laser Pulse ◽  
Ultrashort Laser Pulse ◽  
Acoustic Signals ◽  
Underwater Acoustic ◽  
Ultrashort Laser

On the thermal noise limit of cellular membranes

2004 ◽  
Vol 26 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Gy. Vincze ◽  
N. Szasz ◽  
A. Szasz
Keyword(s):  
Thermal Noise ◽  
Cellular Membranes ◽  
Noise Limit
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