標(biāo)題: Titlebook: An Introduction to Signal Detection and Estimation; H. Vincent Poor Textbook 19881st edition Springer Science+Business Media New York 1988 [打印本頁] 作者: 搭話 時(shí)間: 2025-3-21 16:12
書目名稱An Introduction to Signal Detection and Estimation影響因子(影響力)
書目名稱An Introduction to Signal Detection and Estimation影響因子(影響力)學(xué)科排名
書目名稱An Introduction to Signal Detection and Estimation網(wǎng)絡(luò)公開度
書目名稱An Introduction to Signal Detection and Estimation網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱An Introduction to Signal Detection and Estimation被引頻次
書目名稱An Introduction to Signal Detection and Estimation被引頻次學(xué)科排名
書目名稱An Introduction to Signal Detection and Estimation年度引用
書目名稱An Introduction to Signal Detection and Estimation年度引用學(xué)科排名
書目名稱An Introduction to Signal Detection and Estimation讀者反饋
書目名稱An Introduction to Signal Detection and Estimation讀者反饋學(xué)科排名
作者: 受傷 時(shí)間: 2025-3-21 23:43
https://doi.org/10.1007/978-3-662-28861-0plications we are interested in the related problem of estimating dynamic or time-varying parameters. In the traditional terminology, a dynamic parameter is usually called a ., so the latter problem is known as . or ..作者: 有機(jī)體 時(shí)間: 2025-3-22 03:39 作者: acrimony 時(shí)間: 2025-3-22 06:32 作者: 租約 時(shí)間: 2025-3-22 11:38 作者: 凝乳 時(shí)間: 2025-3-22 14:32
https://doi.org/10.1007/978-3-642-94448-2random observation .. In many situations arising in practice we are interested not in making a choice between two (or among several) discrete situations, but rather in making a choice among a continuum of possible states of nature. In particular, as in the composite hypothesis testing problems discu作者: 壟斷 時(shí)間: 2025-3-22 19:51 作者: Jingoism 時(shí)間: 2025-3-22 22:57
https://doi.org/10.1007/978-3-662-28861-0ither a set of vectors or is a discrete set. Throughout this analysis a key role was played by a family of densities {p.; θ ∞ Λ} on the observation space, either through the likelihood ratio in hypothesis testing, through the computation of an . parameter distribution in Bayesian estimation, or thro作者: 疏忽 時(shí)間: 2025-3-23 01:55 作者: defeatist 時(shí)間: 2025-3-23 06:04 作者: LIKEN 時(shí)間: 2025-3-23 10:41 作者: osteoclasts 時(shí)間: 2025-3-23 17:44
https://doi.org/10.1007/978-1-4757-3863-6communication; radar; radio; remote sensing; signal作者: 慢慢啃 時(shí)間: 2025-3-23 21:14 作者: 社團(tuán) 時(shí)間: 2025-3-24 01:08 作者: 察覺 時(shí)間: 2025-3-24 04:58 作者: arthroplasty 時(shí)間: 2025-3-24 07:01 作者: ANNUL 時(shí)間: 2025-3-24 10:51
https://doi.org/10.1007/978-3-642-94448-2the case of discrete-time detection, leaving the continuous-time case for Chapter VI. The discrete-time case is of considerable practical interest due to the trend of increased digitization of signal processing functions.作者: FLOUR 時(shí)間: 2025-3-24 17:18 作者: Catheter 時(shí)間: 2025-3-24 20:21 作者: ingenue 時(shí)間: 2025-3-25 00:42
https://doi.org/10.1007/978-3-662-28861-0e primary reason for restricting our observation sets in the way that we have done. In particular, as we have seen, all the problems considered thus far have been treated using the ordinary probability calculus of probability density functions and probability mass functions.?作者: 弄臟 時(shí)間: 2025-3-25 06:48 作者: 舊病復(fù)發(fā) 時(shí)間: 2025-3-25 07:55
Elements of Parameter Estimation,se of composite hypothesis testing in which we wish to make a binary decision about the parameter, we wish here to determine as accurately as possible the actual value of the parameter from the observation.作者: moratorium 時(shí)間: 2025-3-25 12:39
Signal Detection in Continuous Time,e primary reason for restricting our observation sets in the way that we have done. In particular, as we have seen, all the problems considered thus far have been treated using the ordinary probability calculus of probability density functions and probability mass functions.?作者: 下級 時(shí)間: 2025-3-25 16:23
Signal Estimation in Continuous Time,n all cases, we consider primarily the case of white Gaussian noise, although as we have seen in Chapter VI, other Gaussian noise models can be transformed to this model, so that these results are more general.作者: Grasping 時(shí)間: 2025-3-25 22:13 作者: Mediocre 時(shí)間: 2025-3-26 01:57
Textbook 19881st edition through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas (1986), also in this series.作者: 鞭打 時(shí)間: 2025-3-26 06:42 作者: enmesh 時(shí)間: 2025-3-26 11:20
Elements of Hypothesis Testing,h we wish to decide among . possible statistical situations describing the observations. For example, in an .-ary communications receiver we observe an electrical waveform that consists of one of . possible signals corrupted by random channel or receiver noise, and we wish to decide which of the . p作者: 追蹤 時(shí)間: 2025-3-26 14:00 作者: 罵人有污點(diǎn) 時(shí)間: 2025-3-26 20:02 作者: Traumatic-Grief 時(shí)間: 2025-3-26 22:54
Elements of Signal Estimation,plications we are interested in the related problem of estimating dynamic or time-varying parameters. In the traditional terminology, a dynamic parameter is usually called a ., so the latter problem is known as . or ..作者: 同步信息 時(shí)間: 2025-3-27 04:05
Signal Detection in Continuous Time,ither a set of vectors or is a discrete set. Throughout this analysis a key role was played by a family of densities {p.; θ ∞ Λ} on the observation space, either through the likelihood ratio in hypothesis testing, through the computation of an . parameter distribution in Bayesian estimation, or thro作者: Fresco 時(shí)間: 2025-3-27 09:14
Signal Estimation in Continuous Time,on in continuous time. We treat three basic problems: . for signals of known form (up to a set of unknown parameters) observed in additive Gaussian noise; . in which either we assume that the signals and noise of interest are Gaussian processes or we restrict attention to linear estimators; and ., i作者: 孤獨(dú)無助 時(shí)間: 2025-3-27 10:10
An Introduction to Signal Detection and Estimation作者: 凝結(jié)劑 時(shí)間: 2025-3-27 14:44 作者: cornucopia 時(shí)間: 2025-3-27 20:00
1431-8482 Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas (1986), also in this series.978-1-4757-3863-6Series ISSN 1431-8482 作者: 玩笑 時(shí)間: 2025-3-27 21:55 作者: 把…比做 時(shí)間: 2025-3-28 06:06
10樓作者: 祖先 時(shí)間: 2025-3-28 08:46
10樓作者: Injunction 時(shí)間: 2025-3-28 13:28
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