A Pitch Estimation Method Robust to High Levels of Noise

2017 ◽  
pp. 274-280
Author(s):  
Xu Jingyun ◽  
Zhao Xiaoqun ◽  
Cai Zhiduan
Keyword(s):  
Estimation Method ◽  
Pitch Estimation

A Robust Yaw and Pitch Estimation Method for Mini-InSAR System

2017 ◽  
Vol 14 (11) ◽  
pp. 2157-2161 ◽  
Author(s):  
Xikai Fu ◽  
Maosheng Xiang ◽  
Bingnan Wang ◽  
Shuai Jiang ◽  
Xiaofan Sun
Keyword(s):  
Estimation Method ◽  
Pitch Estimation

Coaches estimation method for the athletes (CEM)

1995 ◽  
Author(s):  
Nagykaldi Csaba ◽  
Manohar Singh Badhan
Keyword(s):  
Estimation Method

Theoretical, methodological and practical issues of choice models

2018 ◽  
Vol 1 (1) ◽  
pp. 21-37
Author(s):  
Bharat P. Bhatta
Keyword(s):  
Discrete Choice ◽  
Model Building ◽  
Estimation Method ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Decision Makers ◽  
Model Formulation ◽  
Random Utility Maximization ◽  
The Relationship ◽  
Method Model

This paper analyzes and synthesizes the fundamentals of discrete choice models. This paper alsodiscusses the basic concept and theory underlying the econometrics of discrete choice, specific choicemodels, estimation method, model building and tests, and applications of discrete choice models. Thiswork highlights the relationship between economic theory and discrete choice models: how economictheory contributes to choice modeling and vice versa. Keywords: Discrete choice models; Random utility maximization; Decision makers; Utility function;Model formulation

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