| 书目名称 | Statistical Signal Processing |
| 副标题 | Frequency Estimation |
| 编辑 | Debasis Kundu,Swagata Nandi |
| 视频video | |
| 概述 | First book on this topic written mainly for Statisticians.State-of-the-art literature survey on frequency estimation, and several open problems discussed for future research.One chapter devoted solely |
| 丛书名称 | SpringerBriefs in Statistics |
| 图书封面 |  |
| 描述 | Signal processing may broadly be considered to involve the recovery of information from physical observations. The received signal is usually disturbed by thermal, electrical, atmospheric or intentional interferences. Due to the random nature of the signal, statistical techniques play an important role in analyzing the signal. Statistics is also used in the formulation of the appropriate models to describe the behavior of the system, the development of appropriate techniques for estimation of model parameters and the assessment of the model performances. Statistical signal processing basically refers to the analysis of random signals using appropriate statistical techniques. The main aim of this book is to introduce different signal processing models which have been used in analyzing periodic data, and different statistical and computational issues involved in solving them. We discuss in detail the sinusoidal frequency model which has been used extensively in analyzing periodic data occuring in various fields. We have tried to introduce different associated models and higher dimensional statistical signal processing models which have been further discussed in the literature. Differ |
| 出版日期 | Book 20121st edition |
| 关键词 | Convergence; Information Theoretic Criterion; Least-squares Estimators; Rate of Convergence; Sinusoidal |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-81-322-0628-6 |
| isbn_ebook | 978-81-322-0628-6Series ISSN 2191-544X Series E-ISSN 2191-5458 |
| issn_series | 2191-544X |
| copyright | The Author(s) 2012 |
发表于 2025-3-21 18:25:07
