The identification of wavelet modulation based on trigonometric moments

2007 ◽  
Author(s):  
Jinqiang Tian ◽  
Xianghong Tang ◽  
Yueli Li
Keyword(s):  
Trigonometric Moments

scholarly journals Transformation of circular random variables based on circular distribution functions

Filomat ◽  
2018 ◽  
Vol 32 (17) ◽  
pp. 5931-5947
Author(s):  
Hatami Mojtaba ◽  
Alamatsaz Hossein
Keyword(s):  
Distribution Function ◽  
Random Variables ◽  
Real Data ◽  
Random Variable ◽  
Distribution Functions ◽  
Likelihood Method ◽  
Circular Distribution ◽  
Data Set ◽  
Trigonometric Moments ◽  
Von Mises

In this paper, we propose a new transformation of circular random variables based on circular distribution functions, which we shall call inverse distribution function (id f ) transformation. We show that M?bius transformation is a special case of our id f transformation. Very general results are provided for the properties of the proposed family of id f transformations, including their trigonometric moments, maximum entropy, random variate generation, finite mixture and modality properties. In particular, we shall focus our attention on a subfamily of the general family when id f transformation is based on the cardioid circular distribution function. Modality and shape properties are investigated for this subfamily. In addition, we obtain further statistical properties for the resulting distribution by applying the id f transformation to a random variable following a von Mises distribution. In fact, we shall introduce the Cardioid-von Mises (CvM) distribution and estimate its parameters by the maximum likelihood method. Finally, an application of CvM family and its inferential methods are illustrated using a real data set containing times of gun crimes in Pittsburgh, Pennsylvania.

scholarly journals Wrapped Zero-inflated Poisson Distribution and Its Properties

2015 ◽  
Vol 5 (1) ◽  
pp. 111
Author(s):  
Anita Brobbey ◽  
Aerambamoorthy Thavaneswaran ◽  
Saumen Mandal
Keyword(s):  
Poisson Distribution ◽  
Population Characteristics ◽  
Function Approach ◽  
Characteristic Functions ◽  
Model Parameters ◽  
Stable Processes ◽  
Estimating Function ◽  
Circular Distribution ◽  
Wrapped Distributions ◽  
Trigonometric Moments

Recently, there has been a growing interest in discrete valued wrapped distributions and the trigonometric moments.<br />Characteristic functions of stable processes have been used to study the estimation of the model parameters using<br />estimating function approach (Thavaneswaran et al., 2013). In this paper, we introduce a new discrete circular distribution,<br />the wrapped zero-inflated Poisson distribution and derive its population characteristics.<br /><br />

scholarly journals On Wrapping of Quasi Lindley Distribution

Mathematics ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 930
Author(s):  
Ahmad M. H. Al-khazaleh ◽  
Shawkat Alkhazaleh
Keyword(s):  
Distribution Function ◽  
Cumulative Distribution Function ◽  
Estimation Method ◽  
Likelihood Estimation ◽  
Cumulative Distribution ◽  
Estimation Of Parameters ◽  
Circular Distribution ◽  
Lindley Distribution ◽  
Trigonometric Moments ◽  
Maximum Likelihood Estimation Method

In this paper, as an extension of Wrapping Lindley Distribution (WLD), we suggest a new circular distribution called the Wrapping Quasi Lindley Distribution (WQLD). We obtain the probability density function and derive the formula of a cumulative distribution function, characteristic function, trigonometric moments, and some related parameters for this WQLD. The maximum likelihood estimation method is used for the estimation of parameters.

scholarly journals New Circular model induced by Inverse Stereographic projection on Double Exponential Model - Application to Birds Migration Data

2014 ◽  
Vol 10 (1) ◽  
pp. 5-17 ◽  
Author(s):  
S.V.S. Girija ◽  
A.V. Dattatreya Rao ◽  
Phani Yedlapalli
Keyword(s):  
Stereographic Projection ◽  
Exponential Model ◽  
Data Set ◽  
Model Application ◽  
Circular Model ◽  
Migration Data ◽  
Double Exponential ◽  
Trigonometric Moments ◽  
Level Of Significance ◽  
Double Exponential Model

Abstract This paper introduces Stereographic Double Exponential Model based on inverse Stereographic Projection or Bilinear (Mobius) Transformation, [Minh and Farnum (2003)]. onsidering the data set of 13 homing pigeons were released singly in the Toggenburg Valley in Switzerland under sub Alpine conditions (data quoted in Batschelet (1981)), it is shown that the said model is a good fit by most of the tests at various level of significance. The derivation of the characteristic function for Stereographic Double Exponential Model and its trigonometric moments are presented. Relative performance of Stereographic Logistic [Phani (2013], Wrapped Logistic [Dattatreya Rao et al (2007)] and Stereographic Double Exponential models for the live data of 13 birds is studied. Also graphs of pdf of this new Model for various combinations of the parameters are drawn.

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