| 书目名称 | Stochastic Approximation and Its Applications |
| 编辑 | Han-Fu Chen |
| 视频video | |
| 丛书名称 | Nonconvex Optimization and Its Applications |
| 图书封面 |  |
| 描述 | Estimating unknown parameters based on observation data conta- ing information about the parameters is ubiquitous in diverse areas of both theory and application. For example, in system identification the unknown system coefficients are estimated on the basis of input-output data of the control system; in adaptive control systems the adaptive control gain should be defined based on observation data in such a way that the gain asymptotically tends to the optimal one; in blind ch- nel identification the channel coefficients are estimated using the output data obtained at the receiver; in signal processing the optimal weighting matrix is estimated on the basis of observations; in pattern classifi- tion the parameters specifying the partition hyperplane are searched by learning, and more examples may be added to this list. All these parameter estimation problems can be transformed to a root-seeking problem for an unknown function. To see this, let - note the observation at time i. e. , the information available about the unknown parameters at time It can be assumed that the parameter under estimation denoted by is a root of some unknown function This is not a restriction, because, for |
| 出版日期 | Book 2002 |
| 关键词 | Adaptive Filter; Signal; algorithms; communication; development; optimization; statistics; system |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b101987 |
| isbn_softcover | 978-1-4419-5228-8 |
| isbn_ebook | 978-0-306-48166-6Series ISSN 1571-568X |
| issn_series | 1571-568X |
| copyright | Springer Science+Business Media Dordrecht 2002 |
发表于 2025-3-21 16:40:58
