Zobrazeno 1 - 10
of 138
pro vyhledávání: '"James V. Candy"'
Publikováno v:
The Journal of the Acoustical Society of America. 150:A306-A306
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9292ac74b11a6081b3f0a1859222f587
https://doi.org/10.1121/10.0008376
https://doi.org/10.1121/10.0008376
Autor:
James V. Candy
Publikováno v:
Model-Based Processing ISBN: 9781119457695
This chapter focuses on the foundation of the system identification problem for state‐space systems that leads to subspace identification techniques. The original basis has evolved from systems theory and the work of Kalman for control system desig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71a5c057852864b340d62706262c4561
https://doi.org/10.1002/9781119457695.ch6
https://doi.org/10.1002/9781119457695.ch6
Autor:
James V. Candy
Publikováno v:
Model-Based Processing ISBN: 9781119457695
This chapter discusses the stochastic realization problem from both the classical and the subspace perspectives. It starts with the classical problem that mimics the deterministic approach with covariance matrices replacing impulse response matrices.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56f4ffaf5af5cc48d5b8c90b00ee672f
https://doi.org/10.1002/9781119457695.ch7
https://doi.org/10.1002/9781119457695.ch7
Autor:
James V. Candy
Publikováno v:
Model-Based Processing ISBN: 9781119457695
In this chapter, we discuss the representation of a random signal, first as a stochastic process with accompanying statistics and then as a discrete random signal with certain inherent properties. We show how random signals can be characterized by th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b743c78981b6731589f0dfab677aa21
https://doi.org/10.1002/9781119457695.ch2
https://doi.org/10.1002/9781119457695.ch2
Autor:
James V. Candy
Publikováno v:
Model-Based Processing ISBN: 9781119457695
In this chapter, we develop a suite of case studies applying model‐based identification (MBID) techniques to extract models for processing using both subspace and parametrically adaptive schemes. We start with a complex mechanical (structural) syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7113173ad0a43ba0fd879a77f1b5252
https://doi.org/10.1002/9781119457695.ch8
https://doi.org/10.1002/9781119457695.ch8
Autor:
James V. Candy
Publikováno v:
The Journal of the Acoustical Society of America. 149:A84-A84
When uncertain acoustic processes can no longer be characterized by Gaussian or for that matter unimodal (single peak) distributions along with the fact that the underlying phenomenology is nonstationary (time-varying) and nonlinear, then more genera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e27228195bba6df17c55674ca04b054d
https://doi.org/10.1121/10.0004590
https://doi.org/10.1121/10.0004590