標(biāo)題: Titlebook: Distributed Detection and Data Fusion; Pramod K. Varshney Book 1997 Springer Science+Business Media New York 1997 Signal.Topologie.data co [打印本頁(yè)] 作者: 烹飪 時(shí)間: 2025-3-21 19:00
書(shū)目名稱Distributed Detection and Data Fusion影響因子(影響力)
書(shū)目名稱Distributed Detection and Data Fusion影響因子(影響力)學(xué)科排名
書(shū)目名稱Distributed Detection and Data Fusion網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Distributed Detection and Data Fusion網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Distributed Detection and Data Fusion被引頻次
書(shū)目名稱Distributed Detection and Data Fusion被引頻次學(xué)科排名
書(shū)目名稱Distributed Detection and Data Fusion年度引用
書(shū)目名稱Distributed Detection and Data Fusion年度引用學(xué)科排名
書(shū)目名稱Distributed Detection and Data Fusion讀者反饋
書(shū)目名稱Distributed Detection and Data Fusion讀者反饋學(xué)科排名
作者: 供過(guò)于求 時(shí)間: 2025-3-21 21:08
Elements of Detection Theory,l possibilities. For example, in a radar detection context, a decision is to be made regarding the presence or absence of a target based on the radar return. In a digital communication system, one of several possible waveforms is transmitted over a channel. Based on the received noisy observation, w作者: 舊式步槍 時(shí)間: 2025-3-22 00:48
Distributed Bayesian Detection: Parallel Fusion Network,e parallel fusion topology has received the most attention. In this chapter, we develop the theory of Bayesian detection for parallel fusion structures. In Section 3.2, we consider a parallel structure consisting of a number of detectors whose decisions are available locally and are not transmitted 作者: byline 時(shí)間: 2025-3-22 08:38
Distributed Bayesian Detection: Other Network Topologies,othesis testing for several other network topologies. In Section 4.2, we consider the serial or tandem network, a widely studied network topology. System design methodology is developed and its performance is compared with that of the parallel network. Interesting issues, such as sequencing and plac作者: 堅(jiān)毅 時(shí)間: 2025-3-22 11:20 作者: 通知 時(shí)間: 2025-3-22 14:40
Distributed Sequential Detection,ctors. As observations continue to arrive, detectors include them in their decision making. Unlike fixed-sample-size detection problems where decisions are made after receiving the entire set of observations, sequential detectors may choose to stop at any time and make a final decision or continue t作者: 通知 時(shí)間: 2025-3-22 19:01
Information Theory and Distributed Hypothesis Testing,tion of statistical decision theory to the problem of determining the presence or absence of signals in noise. Both of these theories deal with the communication problem. The relationship between information theory and conventional (centralized) detection theory has been discussed in the literature.作者: dysphagia 時(shí)間: 2025-3-22 22:45
ssumes that complete observations are available at a central processor for decision-making. More recently, many applications have been identified in which observations are processed in a distributed manner and decisions are made at the distributed processors, or processed data (compressed observatio作者: 符合規(guī)定 時(shí)間: 2025-3-23 03:53 作者: coddle 時(shí)間: 2025-3-23 06:25
The State of the Environment in Asia a particular course of action from a set of possible options. This problem involving a single decision maker is typically a difficult one. Decision making in large-scale systems consisting of multiple decision makers is an even more challenging problem. Group decision-making structures are found in作者: arrogant 時(shí)間: 2025-3-23 11:32 作者: chronology 時(shí)間: 2025-3-23 15:47 作者: 爭(zhēng)吵 時(shí)間: 2025-3-23 21:45
https://doi.org/10.1007/978-1-349-05905-8othesis testing for several other network topologies. In Section 4.2, we consider the serial or tandem network, a widely studied network topology. System design methodology is developed and its performance is compared with that of the parallel network. Interesting issues, such as sequencing and plac作者: 六個(gè)才偏離 時(shí)間: 2025-3-23 23:04 作者: 傻 時(shí)間: 2025-3-24 04:47 作者: CYN 時(shí)間: 2025-3-24 09:23 作者: G-spot 時(shí)間: 2025-3-24 14:10 作者: GAVEL 時(shí)間: 2025-3-24 15:00 作者: FLINT 時(shí)間: 2025-3-24 19:04 作者: 過(guò)去分詞 時(shí)間: 2025-3-25 02:44
The State of the Environment in Asiaors along with intelligence information while deciding whether or not to launch an offensive. In many applications, multiple decision makers arise naturally, e.g., managers in an industrial organization. In many other applications, additional decision makers are employed to improve system performanc作者: finale 時(shí)間: 2025-3-25 03:52 作者: blackout 時(shí)間: 2025-3-25 09:44
The State of the Environment in Asian rules are derived. A number of special cases including conditionally independent local observations and identical detectors are considered. Efficient computational approaches are presented. Design of optimal parallel structures with dependent local observations is an NP-complete problem. This and 作者: 主動(dòng)脈 時(shí)間: 2025-3-25 15:44
https://doi.org/10.1007/978-1-349-05905-8ls are presented that reduce this requirement. Finally, a unified methodology is presented to represent any decentralized detection network structure. Decision rules are also obtained. This methodology is applicable to detection networks that include memory as well as feedback.作者: BUDGE 時(shí)間: 2025-3-25 18:17 作者: ACRID 時(shí)間: 2025-3-25 21:58
https://doi.org/10.1007/978-1-349-05905-8decisions can still be combined using a fixed fusion rule. In Section 6.3, we consider a parallel fusion network consisting of . peripheral detectors and a fusion center. The local detectors send a sequence of summary messages to the fusion center where a sequential test is implemented. The fusion c作者: Antagonist 時(shí)間: 2025-3-26 01:33
https://doi.org/10.1007/978-1-349-05905-8ensions of the above work for the distributed detection problem. In Section 7.2, we discuss the design of distributed detection systems based on an information theoretic cost function. In Section 7.3, we present a brief summary of some asymptototic results on the performance of distributed detection作者: 現(xiàn)存 時(shí)間: 2025-3-26 06:12
Book 1997d relatively recently in technical journals. The level of presentation is such that the hook can be used as a graduate-level textbook. Numerous examples are presented throughout the book. It is assumed that the reader has been exposed to detection theory. The book will also serve as a useful referen作者: 縮影 時(shí)間: 2025-3-26 12:06
as appeared relatively recently in technical journals. The level of presentation is such that the hook can be used as a graduate-level textbook. Numerous examples are presented throughout the book. It is assumed that the reader has been exposed to detection theory. The book will also serve as a useful referen978-1-4612-7333-2978-1-4612-1904-0作者: inhibit 時(shí)間: 2025-3-26 15:19
Introduction,ors along with intelligence information while deciding whether or not to launch an offensive. In many applications, multiple decision makers arise naturally, e.g., managers in an industrial organization. In many other applications, additional decision makers are employed to improve system performanc作者: CLOT 時(shí)間: 2025-3-26 17:38 作者: finite 時(shí)間: 2025-3-26 22:38 作者: organism 時(shí)間: 2025-3-27 03:58
Distributed Bayesian Detection: Other Network Topologies,ls are presented that reduce this requirement. Finally, a unified methodology is presented to represent any decentralized detection network structure. Decision rules are also obtained. This methodology is applicable to detection networks that include memory as well as feedback.作者: BARK 時(shí)間: 2025-3-27 08:41 作者: 虛假 時(shí)間: 2025-3-27 11:24
Distributed Sequential Detection,decisions can still be combined using a fixed fusion rule. In Section 6.3, we consider a parallel fusion network consisting of . peripheral detectors and a fusion center. The local detectors send a sequence of summary messages to the fusion center where a sequential test is implemented. The fusion c作者: Enthralling 時(shí)間: 2025-3-27 14:27
Information Theory and Distributed Hypothesis Testing,ensions of the above work for the distributed detection problem. In Section 7.2, we discuss the design of distributed detection systems based on an information theoretic cost function. In Section 7.3, we present a brief summary of some asymptototic results on the performance of distributed detection作者: construct 時(shí)間: 2025-3-27 21:09
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