| 書目名稱 | Modelling and Application of Stochastic Processes | | 編輯 | Uday B. Desai | | 視頻video | http://file.papertrans.cn/637/636560/636560.mp4 | | 圖書封面 |  | | 描述 | The subject of modelling and application of stochastic processes is too vast to be exhausted in a single volume. In this book, attention is focused on a small subset of this vast subject. The primary emphasis is on realization and approximation of stochastic systems. Recently there has been considerable interest in the stochastic realization problem, and hence, an attempt has been made here to collect in one place some of the more recent approaches and algorithms for solving the stochastic realiza- tion problem. Various different approaches for realizing linear minimum-phase systems, linear nonminimum-phase systems, and bilinear systems are presented. These approaches range from time-domain methods to spectral-domain methods. An overview of the chapter contents briefly describes these approaches. Also, in most of these chapters special attention is given to the problem of developing numerically ef- ficient algorithms for obtaining reduced-order (approximate) stochastic realizations. On the application side, chapters on use of Markov random fields for modelling and analyzing image signals, use of complementary models for the smoothing problem with missing data, and nonlinear estimat | | 出版日期 | Book 1986 | | 關(guān)鍵詞 | Estimator; Phase; Signal; Stochastic processes; Variance; model; modeling; stochastic process | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4613-2267-2 | | isbn_softcover | 978-1-4612-9400-9 | | isbn_ebook | 978-1-4613-2267-2 | | copyright | Kluwer Academic Publishers, Boston 1986 |
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