I think no one will be able to answer this.........

How to get the noise component in a GPS time series applying MLE technique. The paper I have followed is http://onlinelibrary.wiley.com/doi/10.1029/1998JB900033/pdf. I having the time series data. The time series is attached. The first column is the time column, second is the signal and third is the standard deviation

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[Chris Martin]

Why no one is able to answer this????

[David Sanchez]

You are assuming everybody has access to the paper, you present an endless array, and before all, you present your question arrogantly. By the way, your problem is not difficult at all.

[Chris Martin]

then plz help me out. the middle one is noisy signal and let it be additive one. it is time series of position.

[Chris Martin]

Plz sorry for my act........

[Chris Martin]

 plzz help........

Answer 1

[Greg Heath]

Your question is ill-defined:

You have not presented enough info.

1. Is the middle column the noisy signal?

2. Is the noise supposed to be

 a. additive?
 b. zero-mean?
 c. constant variance?
 d. Gaussian distributed?

If so, how was the variance measured? In particular, how many points were used to estimate each tabulated value?

[Image Analyst]

So I guess Chris was right. No one can answer it, as it is. Maybe we should just let it go at that? :-)

[Walter Roberson]

Please answer Greg's second question and the questions about variance.

[Chris Martin]

actually from power spectrum it can be said that it is combination of white and colour noise. I need to model using various combination white+flicker, white+flicker+random walk. I am new to this kind of analysis so i require your help. Better you give a general one or give for every kind of noise type (additive,zero mean,constant variance,Gaussian distributed). It will be better to relate my time series with that of the paper I have attached. I need exactly that kind of work.

[Walter Roberson]

The paper you refer to is behind a "paywall". I do not have access to it.

[Chris Martin]

Please give your mail id so that i can give you the paper.

[Chris Martin]

Give me your mail id so that I can send you the paper

[Chris Martin]

What happened???