Considering the raw data may contains noisy, discontinu- ous and redundant information, it is necessary to clear the data so that its affection on further analysis and modeling can be minimized. Noise reduction is the first step in data cleaning process.In our paper we have discussed three types of cleaning techinques which are

• Low Pass filtering
• Median Filetring
• Phase Shifting Correction

For a case Study We have introduced phase shifting processing in our web application.It is known that definition of heading is within [0∘, 360∘], it is inevitable to occur jumping phenomenon when the heading changes near the border. To remove this type of discontinuity, the heading angle is defined unbounded and a variable for the number of laps is introduced:
Select an Phase Shift Correction from the dropdown.

To Process Click on Clean Data. Once you press submit Matlab will be working on background and result will be stored in JSON format.

To see the result created by Matlab Press Display Result