Effects of beam pattern instability on dispersion line accuracy in phase locking of separated lasers

1991 ◽  
Vol 34 (9) ◽  
pp. 904-905
Author(s):  
N. A. Armand ◽  
V. I. Grigor'evskii ◽  
A. N. Lomakin
Keyword(s):  
Phase Locking ◽  
Beam Pattern ◽  
Dispersion Line

Ultrastructural identification of three types of sensory setae on copepod antennae

1995 ◽  
Vol 53 ◽  
pp. 956-957
Author(s):  
T. M. Weatherby ◽  
P.H. Lenz
Keyword(s):  
Phase Locking ◽  
Membrane Surface ◽  
Reaction Times ◽  
High Sensitivity ◽  
Structural Features ◽  
Calanoid Copepods ◽  
Marine Food Webs ◽  
Dendritic Membrane ◽  
Ultrastructural Characterization

Crustaceans, as well as other arthropods, are covered with sensory setae and hairs, including mechanoand chemosensory sensillae with a ciliary origin. Calanoid copepods are small planktonic crustaceans forming a major link in marine food webs. In conjunction with behavioral and physiological studies of the antennae of calanoids, we undertook the ultrastructural characterization of sensory setae on the antennae of Pleuromamma xiphias.Distal mechanoreceptive setae exhibit exceptional behavioral and physiological performance characteristics: high sensitivity (<10 nm displacements), fast reaction times (<1 msec latency) and phase locking to high frequencies (1-2 kHz). Unusual structural features of the mechanoreceptors are likely to be related to their physiological sensitivity. These features include a large number (up to 3000) of microtubules in each sensory cell dendrite, arising from or anchored to electron dense rods associated with the ciliary basal body microtubule doublets. The microtubules are arranged in a regular array, with bridges between and within rows. These bundles of microtubules extend far into each mechanoreceptive seta and terminate in a staggered fashion along the dendritic membrane, contacting a large membrane surface area and providing a large potential site of mechanotransduction.

Phase-locking phenomena in coupled waveguide semiconductor lasers

1992 ◽  
Vol 139 (1) ◽  
pp. 88
Author(s):  
Ziping Jiang ◽  
M. McCall
Keyword(s):  
Semiconductor Lasers ◽  
Phase Locking ◽  
Locking Phenomena

CONSTRUCTION PRINCIPLES OF TECHNICALLY INVARIANT QUARTZ GENERATORS BASED ON THE DOUBLE-LOOP PULSE PHASE LOCKING SYSTEMS

2019 ◽  
Vol 78 (13) ◽  
pp. 1167-1177
Author(s):  
S. K. Pidchenko ◽  
A. A. Taranchuk ◽  
A. Totsky ◽  
V. B. Sharonov
Keyword(s):  
Phase Locking ◽  
Double Loop ◽  
Pulse Phase

Beam Pattern Investigation of Terahertz Quantum Cascade Lasers

PIERS Online ◽  
2008 ◽  
Vol 4 (2) ◽  
pp. 267-270 ◽  
Author(s):  
Saeed Fathololoumi ◽  
Dayan Ban ◽  
Hui Luo ◽  
Peter Grant ◽  
Sylvain R. Laframboise ◽  
...  
Keyword(s):  
Quantum Cascade Lasers ◽  
Beam Pattern ◽  
Quantum Cascade ◽  
Cascade Lasers

A hybrid neural network goal attain optimization for failed sensor(s) radiation pattern in linear array

2019 ◽  
Vol 4 (4) ◽  
pp. 101-109
Author(s):  
Navaamsini Boopalan ◽  
Agileswari K. Ramasamy ◽  
Farrukh Hafiz Nagi
Keyword(s):  
Neural Network ◽  
Radiation Pattern ◽  
Array Signal Processing ◽  
Linear Array ◽  
Signal To Noise Ratio ◽  
Beam Pattern ◽  
Sensor Failure ◽  
Signal To Noise ◽  
Hybrid Neural Network ◽  
Noise Ratio

Array sensors are widely used in various fields such as radar, wireless communications, autonomous vehicle applications, medical imaging, and astronomical observations fault diagnosis. Array signal processing is accomplished with a beam pattern which is produced by the signal's amplitude and phase at each element of array. The beam pattern can get rigorously distorted in case of failure of array element and effect its Signal to Noise Ratio (SNR) badly. This paper proposes on a Hybrid Neural Network layer weight Goal Attain Optimization (HNNGAO) method to generate a recovery beam pattern which closely resembles the original beam pattern with remaining elements in the array. The proposed HNNGAO method is compared with classic synthesize beam pattern goal attain method and failed beam pattern generated in MATLAB environment. The results obtained proves that the proposed HNNGAO method gives better SNR ratio with remaining working element in linear array compared to classic goal attain method alone. Keywords: Backpropagation; Feed-forward neural network; Goal attain; Neural networks; Radiation pattern; Sensor arrays; Sensor failure; Signal-to-Noise Ratio (SNR)

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