Statistical analysis of decision threshold for parallel code acquisition with reference filtering in a fading mobile channel

2002 ◽  
Author(s):  
Young-woo Yun ◽  
Young-chun Lee ◽  
Jae-ho Roh ◽  
Young-hwan You ◽  
Chang-eon Kang
Keyword(s):  
Statistical Analysis ◽  
Decision Threshold ◽  
Code Acquisition ◽  
Mobile Channel ◽  
Parallel Code

Parallel code acquisition technique for preamble search in the CDMA reverse link

1996 ◽  
Vol 32 (13) ◽  
pp. 1169 ◽  
Author(s):  
Y.H. You ◽  
Y.C. Lee ◽  
T.H. Moon ◽  
C.E. Kang
Keyword(s):  
Reverse Link ◽  
Code Acquisition ◽  
Parallel Code ◽  
Acquisition Technique

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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