An identification technique for data acquisition characterization in the presence of nonlinear distortions and time base distortions

IEEE Transactions on Instrumentation and Measurement

Volumn 50, Issue 5, 2001, Pages 1355-1363

  Vandersteen, Gerd ^a,b   Rolain, Yves ^a,c   Schoukens, Johan ^a,c  

^a IEEE   (Belgium)

^b IMEC   (Belgium)

^c VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

Author keywords

Analog digital conversion; Data acquisition; Maximum likelihood estimation; Nonlinear distortion; Parameter estimation; Timing jitter

Indexed keywords

DATA ACQUISITION CHANNELS; TIME BASE DISTORTIONS;

ALGORITHMS; ANALOG TO DIGITAL CONVERSION; COMMUNICATION CHANNELS (INFORMATION THEORY); DATA ACQUISITION; MAXIMUM LIKELIHOOD ESTIMATION; NONLINEAR DISTORTION; PARAMETER ESTIMATION; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS; TIMING JITTER;

SIGNAL NOISE MEASUREMENT;

EID: 0035483997     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/19.963210     Document Type: Article

References (19)

1. Accurate spectral estimation based on measurements with a distorted-time based digitizer
2. An improved sine-wave fitting procedure for characterizing data acquisition data acquisition channels
3. A sine-wave fitting procedure for characterizing data acquisition channels in the presence of time base distortion and time jitter
4. Time-base nonlinearity determination using iterated sine-fit analysis
5. Picosecond time interval measurements
6. Maximum likelihood estimator for jitter noise models
7. General framework for asymptotic properties of generalized weighted nonlinear least squares estimators with deterministic and stochastic weighting
8. Extensions and uses of the variable projection algorithm for solving nonlinear least squares problems
9. Signal processing via least squares error modeling
10. Asymptotic properties of nonlinear least squares estimators
11. Model selection through a statistical analysis of the global minimum of a weighted nonlinear least squares cost function
12. Frequency domain system identification using nonparametric noise models estimated from a small number of data sets
13. Maximum likelihood estimation of errors-in-variables models using a sample covariance matrix obtained from small data sets
14. Order estimation of linear time-invariant systems using frequency domain identification methods
15. Signal reconstruction for nonequidistant finite length samples sets: A "KIS" approach