ISAR False Target Array Generated by Sub-Nyquist Sampling Jamming in Fast and Slow Time

2018 ◽  
Author(s):  
Jiyuan Chen ◽  
Xiaoyi Pan ◽  
Zhaoyu Gu ◽  
Shunping Xiao ◽  
Guangjun Liu
Keyword(s):  
Slow Time ◽  
False Target ◽  
Target Array

Preceded False Target Groups Jamming Against LFM Pulse Compression Radars

2011 ◽  
Vol 30 (6) ◽  
pp. 1350-1353 ◽  
Author(s):  
Jian-cheng Liu ◽  
Xue-song Wang ◽  
Zhong Liu ◽  
Jian-hua Yang ◽  
Guo-yu Wang
Keyword(s):  
Pulse Compression ◽  
Target Groups ◽  
False Target

scholarly journals Understanding the Overdispersed Molecular Clock

Genetics ◽  
2000 ◽  
Vol 154 (3) ◽  
pp. 1403-1417 ◽  
Author(s):  
David J Cutler
Keyword(s):  
Molecular Evolution ◽  
Molecular Clock ◽  
Time Scale ◽  
Population Parameter ◽  
Deleterious Mutations ◽  
Slow Time ◽  
Slow Time Scale ◽  
Key Population ◽  
Protein Encoding ◽  
Rates Of Molecular Evolution

Abstract Rates of molecular evolution at some protein-encoding loci are more irregular than expected under a simple neutral model of molecular evolution. This pattern of excessive irregularity in protein substitutions is often called the “overdispersed molecular clock” and is characterized by an index of dispersion, R(T) > 1. Assuming infinite sites, no recombination model of the gene R(T) is given for a general stationary model of molecular evolution. R(T) is shown to be affected by only three things: fluctuations that occur on a very slow time scale, advantageous or deleterious mutations, and interactions between mutations. In the absence of interactions, advantageous mutations are shown to lower R(T); deleterious mutations are shown to raise it. Previously described models for the overdispersed molecular clock are analyzed in terms of this work as are a few very simple new models. A model of deleterious mutations is shown to be sufficient to explain the observed values of R(T). Our current best estimates of R(T) suggest that either most mutations are deleterious or some key population parameter changes on a very slow time scale. No other interpretations seem plausible. Finally, a comment is made on how R(T) might be used to distinguish selective sweeps from background selection.

A Target Selection Algorithm of Seeker Based on the Prior Information and SVM

2013 ◽  
Vol 734-737 ◽  
pp. 3071-3074
Author(s):  
Guo Dong Zhang ◽  
Zhong Liu
Keyword(s):  
Prior Information ◽  
Simulation Experiment ◽  
Target Selection ◽  
Support Vector ◽  
Selection Algorithm ◽  
Distribution Law ◽  
Surface Ship ◽  
False Target ◽  
Target Characteristics ◽  
Selection Of

Aiming at the phenomenon that the chaff and corner reflector released by surface ship can influence the selection of missile seeker, this paper proposed a multi-target selection method based on the prior information of false targets distribution and Support Vector Machine (SVM). By analyzing the false targets distribution law we obtain two classification principles, which are used to train the SVM studies the true and false target characteristics. The trained SVM is applied to the seeker in the target selection. This method has advantages of simple programming and high classification accuracy, and the simulation experiment in this paper confirms the correctness and effectiveness of this method.

scholarly journals The role of substance P as a neurotransmitter in the reflexes of slow time courses in the neonatal rat spinal cord

1985 ◽  
Vol 84 (3) ◽  
pp. 663-673 ◽  
Author(s):  
Hiroyuki Akagi ◽  
Shiro Konishi ◽  
Masanori Otsuka ◽  
Mitsuhiko Yanagisawa
Keyword(s):  
Spinal Cord ◽  
Substance P ◽  
Neonatal Rat ◽  
Rat Spinal Cord ◽  
Slow Time ◽  
Time Courses
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