### Abstract

ADC testing is often done using sine wave excitation (see e.g. IEEE standard 1241). The measured data are fitted in least squares sense by a sine wave, and the residuals can be analyzed further. In recent papers, it has been recognized that even more (and more precise) information can be extracted by the solution of the maximum likelihood equations. This can be considered as an improvement to the three-parameter and four-parameter fits. Further investigations lead to the statement that the same principle can be extended to any measurement which uses an excitation signal which can be described with a few parameters. A candidate for this is using an exponential signal, with 3 parameters: start value, end (steady-state) value, and time constant. The maximum likelihood (ML) equations yield a solution for these more accurate than least squares (LS) fitting.

Original language | English |
---|---|

Title of host publication | 17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements |

Pages | 630-635 |

Number of pages | 6 |

Publication status | Published - 2010 |

Event | 17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements - Kosice, Slovakia Duration: Sep 8 2010 → Sep 10 2010 |

### Other

Other | 17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements |
---|---|

Country | Slovakia |

City | Kosice |

Period | 9/8/10 → 9/10/10 |

### Fingerprint

### ASJC Scopus subject areas

- Electrical and Electronic Engineering
- Modelling and Simulation

### Cite this

*17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements*(pp. 630-635)

**Extracting full information from measured adc data.** / Balogh, László; Kollár, I.; Michaeli, Linus; Šaliga, Ján; Lipták, Jozef.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements.*pp. 630-635, 17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements, Kosice, Slovakia, 9/8/10.

}

TY - GEN

T1 - Extracting full information from measured adc data

AU - Balogh, László

AU - Kollár, I.

AU - Michaeli, Linus

AU - Šaliga, Ján

AU - Lipták, Jozef

PY - 2010

Y1 - 2010

N2 - ADC testing is often done using sine wave excitation (see e.g. IEEE standard 1241). The measured data are fitted in least squares sense by a sine wave, and the residuals can be analyzed further. In recent papers, it has been recognized that even more (and more precise) information can be extracted by the solution of the maximum likelihood equations. This can be considered as an improvement to the three-parameter and four-parameter fits. Further investigations lead to the statement that the same principle can be extended to any measurement which uses an excitation signal which can be described with a few parameters. A candidate for this is using an exponential signal, with 3 parameters: start value, end (steady-state) value, and time constant. The maximum likelihood (ML) equations yield a solution for these more accurate than least squares (LS) fitting.

AB - ADC testing is often done using sine wave excitation (see e.g. IEEE standard 1241). The measured data are fitted in least squares sense by a sine wave, and the residuals can be analyzed further. In recent papers, it has been recognized that even more (and more precise) information can be extracted by the solution of the maximum likelihood equations. This can be considered as an improvement to the three-parameter and four-parameter fits. Further investigations lead to the statement that the same principle can be extended to any measurement which uses an excitation signal which can be described with a few parameters. A candidate for this is using an exponential signal, with 3 parameters: start value, end (steady-state) value, and time constant. The maximum likelihood (ML) equations yield a solution for these more accurate than least squares (LS) fitting.

UR - http://www.scopus.com/inward/record.url?scp=84872502967&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84872502967&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781617823381

SP - 630

EP - 635

BT - 17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements

ER -