5095
It is achieved by deriving the inter-sensor data ratio model of an AVS in bispectrum domain -LRB- BISDR -RRB- and exploring the favorable properties of bispectrum , such as zero value of Gaussian process and different distribution of speech and NSI .
 used for: It, favorable properties; used for: inter-sensor data ratio model, AVS; used for: bispectrum domain -LRB- BISDR -RRB-, AVS; hyponym of: zero value of Gaussian process, favorable properties; conjunction: zero value of Gaussian process, distribution of speech and NSI; hyponym of: distribution of speech and NSI, favorable properties
Given options, please tell me the relationships of all the listed entity pairs.Output format is "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
 Entity Pairs:  It, favorable properties; inter-sensor data ratio model, AVS; bispectrum domain -LRB- BISDR -RRB-, AVS; zero value of Gaussian process, favorable properties; zero value of Gaussian process, distribution of speech and NSI; distribution of speech and NSI, favorable properties 
Answer:
 used for: It, favorable properties; used for: inter-sensor data ratio model, AVS; used for: bispectrum domain -LRB- BISDR -RRB-, AVS; hyponym of: zero value of Gaussian process, favorable properties; conjunction: zero value of Gaussian process, distribution of speech and NSI; hyponym of: distribution of speech and NSI, favorable properties