Impulse Noise Removal Based on Grey Polynomial Interpolation

Hsieh, Cheng‐Hsiung; Hung, Sheng-Yung; Lan, Chia-Wei; Huang, Po-Chin

doi:10.1109/itng.2010.38

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…It also has ability to repair the defect data's automatically. The flight data testing without outliers has been achieved as the result of the usage of the polynomial fitting [13] [23]. Yang has been implemented polynomial fitting to perform error correction in electromagnetic electronic indoor positioning system.…”

Section: Methodsmentioning

confidence: 99%

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The Newton’s Polynomials Interpolation Based-Error Correction Method for Low-Cost Dive Altitude Sensor in Remotely Operated Underwater Vehicle (ROV)

Gandha¹,

Nurcipto

2019

INFOTEL

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Indonesia is the one of the countries with the largest of sea area. However, the water surveillance categorized as minimum. The human resource and the low level of infrastructure are the causal of the minimum level of water surveillance. The human involvement of water surveillance has many weaknesses, such as weak against the change of the nature condition, limitation in reaching location, weak against water turbidity levels and water pollution. The utilization of ROV (Remotely Operated Underwater Vehicle) could be a solution in water surveillance problem. The development of ROV still not significant in Indonesia. The development costs are also a problem in development of ROV. Many researcher using USBL (Ultra Short Base Line) sensor to sense the depth of the ROV. However, the cost of this sensor is relatively expensive. The usage of low-cost pressure sensor could be a solution to replace the USBL sensor. The low-cost pressure sensor has a significant deviation. The implementation of Newton’s polynomials interpolation algorithm has been used to decreased the deviation level of the sensors. The result shows the algorithm has succeeded to decreased the deviation level of the pressure sensor significantly. The default sensor has significant MSE value of 42956.2. The Newton interpolation algorithm has been succeeded to reducing the MSE value to 17.82. The result of this research is expected to reduce the cost of the ROVs development especially for sensors cost.

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Section: Methodsmentioning

confidence: 99%

“…The Newton's polynomial interpolation is a powerful algorithm. Many application used this algorithm such as noise removal, error correction, and digital filter [13]- [16]. By using the Newton's polynomial interpolation method, the decrease of the error level is expected.…”

Section: Introductionmentioning

confidence: 99%