Estimation of Life Distributions and System Characteristics

1992 ◽  
pp. 100-134
Author(s):  
Shelemyahu Zacks
Keyword(s):  
Life Distributions ◽  
System Characteristics

The Influence of Shape for Self-Reconfigured Modular Robotic System Characteristics

2010 ◽  
Vol 14 (1) ◽  
pp. 6-13 ◽  
Author(s):  
František Trebuňa ◽  
Juraj Smrček ◽  
Zdenko Bobovský
Keyword(s):  
Robotic System ◽  
System Characteristics

Families of Life Distributions Characterized by Two Moments

1988 ◽  
Author(s):  
Manish C. Bhattacharjee ◽  
Jayaram Sethuraman
Keyword(s):  
Life Distributions

Variability in Root System Characteristics of Kleingrass Seedlings 1

Crop Science ◽  
1980 ◽  
Vol 20 (3) ◽  
pp. 384-386 ◽  
Author(s):  
C. R. Rischler ◽  
R. L. Monk
Keyword(s):  
Root System ◽  
System Characteristics

NOISE AND TARGET SIGNALS SIMULATION IN PASSIVE SEISMIC LOCATION SYSTEMS

2018 ◽  
pp. 73-78
Author(s):  
Yu. V. Morozov ◽  
M. A. Rajfeld ◽  
A. A. Spektor
Keyword(s):  
Pulse Sequence ◽  
Signal To Noise Ratio ◽  
Seismic Signal ◽  
Seismic Signals ◽  
Simulation Procedure ◽  
Proposed Model ◽  
Seismic Location ◽  
Passive Seismic ◽  
System Characteristics ◽  
Primary Pulse

The paper proposes the model of a person seismic signal with noise for the investigation of passive seismic location system characteristics. The known models based on Gabor and Berlage pulses have been analyzed. These models are not able wholly to consider statistical properties of seismic signals. The proposed model is based on almost cyclic character of seismic signals, Gauss character of fluctuations inside a pulse, random amplitude change from pulse to pulse and relatively small fluctuation of separate pulses positions. The simulation procedure consists of passing the white noise through a linear generating filter with characteristics formed by real steps of a person, and the primary pulse sequence modulation by Gauss functions. The model permits to control the signal-to-noise ratio after its reduction to unity and to vary pulse shifts with respect to person steps irregularity. It has been shown that the model of a person seismic signal with noise agrees with experimental data.

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