R. Pintelon and J. Schoukens. System Identification---A Frequency Domain Approach. Piscataway, NJ: IEEE Press, 2001. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Generalization of a Total Least Squares Problem in Frequency.. - Balogh, Kollar (2001) (Correct)
....the properties of the new method in practice. Keywords system identification, total least squares, generalized eigenvalues, TLS, frequency domain, initial value setting I. INTRODUCTION Parametric system identification usually concludes in the estimation of unknown parameters in a model ( 1] [2], 3] The estimation of the parameters can be done in many different ways. For the sake of short computing time and numerical simplicity, our goal is usually to cast the problem in the form of a set of linear equations. Because of the distortions and noises in the measurement process, we consider ....
....is linear in p and the elements of A are Am;n = U(j m ) j m ) n 1 if n do 1 Am;n = Y (j m ) j m ) n 1 (do 1) if n do 1 Using (2) and (3) we can introduce the noisy Am . Am =A NA (4) From the noise assumptions it follows that NA (j k ) k = 1; F are zero mean, mixing ([2]) complex random variables, E NAN H A = CU 0 0 C Y , EfNAN T A g = 0, the errors NA (j k ) are independent over the frequency. For more details, see [2] and [4] The weighted total least squares Using (4) we can formulate the parameter estimation as a total least ....
[Article contains additional citation context not shown here]
R. Pintelon and J. Schoukens, "System identification - a frequency domain approach," IEEE Press, to appear.
Generalization of a Total Least Squares Problem in Frequency.. - Istvan (Correct)
....the properties of the new method in practice. Keywords system identification, total least squares, generalized eigenvalues, TLS, frequency domain, initial value setting I. INTRODUCTION Parametric system identification usually concludes in the estimation of unknown parameters in a model ( 1] [2], 3] The estimation of the parameters can be done in many different ways. For the sake of short computing time and numerical simplicity, our goal is usually to cast the problem in the form of a set of linear equations. Because of the distortions and noises in the measurement process, we consider ....
.... fe J g if 9ihj = k a le m n o g 0 p q #1r s if 9itu v: k Using (2) and (3) we can introduce the noisy a . a U a PO]w (4) From the noise assumptions it follows that O]w , x k (1( zy are zero mean, mixing ([2]) complex random variables, O]wTO] w , O]wTO 3 wo ) the errors O]w d are independent over the frequency. For more details, see [2] and [4] The weighted total least squares Using (4) we can formulate the parameter estimation as a total least ....
[Article contains additional citation context not shown here]
R. Pintelon and J. Schoukens, "System identification - a frequency domain approach," IEEE Press, to appear.
Application of Structured Total Least Squares for.. - Markovsky.. (2004) Self-citation (Pintelon) (Correct)
No context found.
R. Pintelon and J. Schoukens, System identification: a frequency domain approach. IEEE Press, Piscataway, 2001.
Application of Structured Total Least Squares for.. - Markovsky, Pintelon, .. (2004) Self-citation (Pintelon) (Correct)
No context found.
R. Pintelon and J. Schoukens, System identification: a frequency domain approach. IEEE Press, 2001.
Complicated procedures made easy [GUI] - Kollar, Pintelon, Schoukens, Simon (2003) (Correct)
No context found.
R. Pintelon and J. Schoukens. System Identification---A Frequency Domain Approach. Piscataway, NJ: IEEE Press, 2001.
Positioning And Tracking Control - Of An Table (2003) (Correct)
No context found.
Rik Pintelon and Johan Schoukens. System Identification: A Frequency Domain Approach. IEEE Press, Piscataway, NJ., 1 edition, 2001.
Parametric Identification of Frequency Domain Systems using .. - Deschrijver, Dhaene (2006) (Correct)
No context found.
Pintelon, R. and J. Schoukens (2001). System Identification : A Frequency Domain Approach. IEEE Press. Piscataway, NJ (USA).
Measurement, Calibration and Pre-Processing of.. - Boets, Bostoen.. (2003) (1 citation) (Correct)
No context found.
R. Pintelon and J. Schoukens, "System Identification, a Frequency Domain Approach", IEEE PRESS, New York, 2001
Measurement, Calibration and Pre-Processing of.. - Boets, Bostoen.. (2003) (1 citation) (Correct)
No context found.
R. Pintelon and J. Schoukens, "System Identification, a Frequency Domain Approach", IEEE PRESS, New York, 2001
Calibration of a Metallic Access Network Analyzer - Boets, Van Biesen, Temmerman (2002) (Correct)
No context found.
R. Pintelon and J. Schoukens, "System Identification: A Frequency Domain Approach", IEEE Press, Piscataway, 2001
Estimation Using Low Rank Signal Models - Mahata (2003) (Correct)
No context found.
R. Pintelon and J. Schoukens. System Identification: A Frequency Domain Approach. IEEE Press, New York, 2001.
IEEE Instrumentation and Measurement - Technology Conference Budapest (Correct)
No context found.
Rik Pintelon and Johan Schoukens, "System Identification. A Frequency Domain Approach", IEEE Press, New York, to appear.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC