scholarly journals Ripple density resolution of complex signals with additional rippled patterns

2021 ◽  
Author(s):  
Marina S. Tomozova ◽  
Alexander Supin ◽  
Dmitry I. Nechaev ◽  
Olga N. Milekhina
Keyword(s):  
Complex Signals ◽  
Density Resolution

Remote sea bottom sounding by hydroacoustic systems with complex signals

2009 ◽  
Vol 179 (2) ◽  
pp. 218
Author(s):  
V.I. Kaevitser ◽  
V.M. Razmanov
Keyword(s):  
Complex Signals ◽  
Sea Bottom

Colour Visualisation of the Phase of Complex Signals

2016 ◽  
Vol 2016 (16) ◽  
pp. 1-7
Author(s):  
Alfredo Restrepo Palacios ◽  
Jorge L Mayorga
Keyword(s):  
Complex Signals

Modelling of Complex Signals in Nerves

2021 ◽  
Author(s):  
Jüri Engelbrecht ◽  
Kert Tamm ◽  
Tanel Peets
Keyword(s):  
Complex Signals

scholarly journals High Ripple-Density Resolution for Discriminating Between Rippled and Nonrippled Signals: Effect of Temporal Processing or Combination Products?

2021 ◽  
Vol 25 ◽  
pp. 233121652110101
Author(s):  
Dmitry I. Nechaev ◽  
Olga N. Milekhina ◽  
Marina S. Tomozova ◽  
Alexander Y. Supin
Keyword(s):  
Low Frequency ◽  
Noise Signal ◽  
Density Variation ◽  
Choice Procedure ◽  
Masker Level ◽  
Reference Signals ◽  
Forced Choice Procedure ◽  
The Mean ◽  
Density Resolution

The goal of the study was to investigate the role of combination products in the higher ripple-density resolution estimates obtained by discrimination between a spectrally rippled and a nonrippled noise signal than that obtained by discrimination between two rippled signals. To attain this goal, a noise band was used to mask the frequency band of expected low-frequency combination products. A three-alternative forced-choice procedure with adaptive ripple-density variation was used. The mean background (unmasked) ripple-density resolution was 9.8 ripples/oct for rippled reference signals and 21.8 ripples/oct for nonrippled reference signals. Low-frequency maskers reduced the ripple-density resolution. For masker levels from −10 to 10 dB re. signal, the ripple-density resolution for nonrippled reference signals was approximately twice as high as that for rippled reference signals. At a masker level as high as 20 dB re. signal, the ripple-density resolution decreased in both discrimination tasks. This result leads to the conclusion that low-frequency combination products are not responsible for the task-dependent difference in ripple-density resolution estimates.

Correcting electron-density resolution bias in reciprocal space

2009 ◽  
Vol 65 (3) ◽  
pp. 183-189 ◽  
Author(s):  
Angela Altomare ◽  
Corrado Cuocci ◽  
Carmelo Giacovazzo ◽  
Sabino Maggi ◽  
Anna Moliterni ◽  
...  
Keyword(s):  
Electron Density ◽  
Reciprocal Space ◽  
Density Resolution

Acoustic tomography of dynamic processes in a sea shelf zone with the use of complex signals

2002 ◽  
Vol 48 (1) ◽  
pp. 1-7 ◽  
Author(s):  
V. A. Akulichev ◽  
V. V. Bezotvetnykh ◽  
S. I. Kamenev ◽  
E. V. Kuz’20min ◽  
Yu. N. Morgunov ◽  
...  
Keyword(s):  
Shelf Zone ◽  
Dynamic Processes ◽  
Acoustic Tomography ◽  
Complex Signals

Dynamics and Bifurcations in Networks Designed for Frequency Conversion

2021 ◽  
Vol 31 (12) ◽  
pp. 2130037
Author(s):  
Visarath In ◽  
Antonio Palacios
Keyword(s):  
Collective Behavior ◽  
Frequency Conversion ◽  
Signal Frequency ◽  
Complex Signals ◽  
Multiple Frequencies ◽  
Basic Ideas ◽  
The Individual ◽  
Parallel Arrays ◽  
To Receive ◽  
Down Conversion

This article reviews recent progress in signal frequency up-conversion and down-conversion, both theory and experiments with network implementations. The fundamental idea is to exploit the inherent symmetry of networks to produce collective behavior in which certain oscillators tend to oscillate at different frequencies. This concept is significantly different from other techniques, e.g. master-slave systems, in the sense that the collective behavior arises naturally from the mutual interactions of the individual units, and without any external forcing. In this manuscript, we present a comprehensive review of the basic ideas, methods, and experiments of the symmetry-based phenomenon of frequency conversion. In addition, we present a review of a device implementation of a broad spectrum analyzer, which motivated the development of systematic methods to up- and down-convert frequencies of oscillations. This device is made up of large parallel arrays of analog nonlinear oscillators with the ability to receive complex signals containing multiple frequencies and instantaneously lock-on or respond to a received signal in a few oscillation cycles.

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